IEEE International Conference on Communications
14-23 June 2021 // Virtual / Montreal
Connectivity – Security – Privacy

Tutorials

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All times are Eastern Daylight Time (EDT)

On-Demand Tutorial Schedule
Monday, 14 June 2021, 12:00pm - 05:00pm (EDT)

TUT-01: Reconfigurable Intelligent Surfaces for Future Wireless Communications
TUT-02: Deep Reinforcement Learning and Its Applications in Future Wireless Networks
TUT-03: Rate Splitting Multiple Access for Beyond 5G: Principles, Recent Advances, and Future Research Trends
TUT-04: User-Centric Cell-Free Massive MIMO: From Foundations to Scalable Implementation
TUT-05: The Future of UAV Cellular Communications
TUT-06: Wireless Communications for Federated Learning
TUT-07: MetaEverything: Intelligent Meta-Surface Aided Sensing and Communications
TUT-08: Interference Exploitation through Symbol Level Precoding: Energy Efficient Transmission for 6G and Beyond
TUT-09: Localization-of-Things: from Foundation to 5G Ecosystem
TUT-10: Deep Learning and Reinforcement Learning for Wireless Network Optimization in PHY and MAC Layers
TUT-11: Efficient Global Optimization and its Application to Wireless Interference Networks
TUT-12: 6G Wireless Systems: Challenges and Opportunities
TUT-13: Tools and Techniques for Future Spectrum Sharing and Coexistence
TUT-14: Machine Learning for MIMO Systems with Large Arrays
TUT-15: Efficient and Intelligent MIMO Communications: Sensing, Detection, and Learning
TUT-16: Online Learning for Wireless Communications: Theory, Algorithms, and Applications
TUT-17: AI-enabled Open Virtualized Wireless Networks
TUT-18: Tools and Techniques for URLLC Towards Beyond-5G Systems
TUT-19: Signal Processing for Terahertz Communications
TUT-20: Enabling Joint Communication and Radio Sensing in Mobile Networks: A Tutorial
TUT-21: Symbiotic Radio: Cognitive Backscatter Communications for Future Wireless Networks
TUT-22: Entanglement-assisted (Quantum) Communication Networks
TUT-23: Game Theoretic Learning and Applications to Spectrum Collaboration
TUT-24: Reconfigurable Intelligent Surfaces and Holographic Massive MIMO: Vision, Fundamentals, and Key Open Problems
TUT-25: 5G-and-Beyond V2X Communication Technologies and Enablers for Connected and Automated Vehicles
TUT-26: Tactile Internet with Human-in-the-Loop
TUT-27: Semantics in Communications: The Example of Information Freshness
TUT-28: Recent Techniques for Massive Grant-free Access for Future IoT
TUT-29: Non-Terrestrial Networks (NTN): The Next 20 Years
TUT-30: Recent Advances and Future Challenges on 6G Wireless Channel Measurements and Models

 

Tutorial Live Q&A Sessions Schedule
Friday, 18 June 2021, 09:00am - 12:00pm (EDT)

09:00am - 09:30am (EDT)
TUT-01: Reconfigurable Intelligent Surfaces for Future Wireless Communications
TUT-10: Deep Learning and Reinforcement Learning for Wireless Network Optimization in PHY and MAC Layers
TUT-20: Enabling Joint Communication and Radio Sensing in Mobile Networks: A Tutorial
TUT-21: Symbiotic Radio: Cognitive Backscatter Communications for Future Wireless Networks
TUT-30: Recent Advances and Future Challenges on 6G Wireless Channel Measurements and Models

09:30am - 10:00am (EDT)
TUT-02: Deep Reinforcement Learning and Its Applications in Future Wireless Networks
TUT-06: Wireless Communications for Federated Learning
TUT-07: MetaEverything: Intelligent Meta-Surface Aided Sensing and Communications
TUT-23: Game Theoretic Learning and Applications to Spectrum Collaboration
TUT-28: Recent Techniques for Massive Grant-free Access for Future IoT

10:00am - 10:30am (EDT)
TUT-03: Rate Splitting Multiple Access for Beyond 5G: Principles, Recent Advances, and Future Research Trends
TUT-08: Interference Exploitation through Symbol Level Precoding: Energy Efficient Transmission for 6G and Beyond
TUT-15: Efficient and Intelligent MIMO Communications: Sensing, Detection, and Learning
TUT-19: Signal Processing for Terahertz Communications
TUT-24: Reconfigurable Intelligent Surfaces and Holographic Massive MIMO: Vision, Fundamentals, and Key Open Problems

10:30am - 11:00am (EDT)
TUT-04: User-Centric Cell-Free Massive MIMO: From Foundations to Scalable Implementation
TUT-11: Efficient Global Optimization and its Application to Wireless Interference Networks
TUT-12: 6G Wireless Systems: Challenges and Opportunities
TUT-13: Tools and Techniques for Future Spectrum Sharing and Coexistence
TUT-14: Machine Learning for MIMO Systems with Large Arrays

11:00am - 11:30am (EDT)
TUT-05: The Future of UAV Cellular Communications
TUT-09: Localization-of-Things: from Foundation to 5G Ecosystem
TUT-17: AI-enabled Open Virtualized Wireless Networks
TUT-18: Tools and Techniques for URLLC Towards Beyond-5G Systems
TUT-22: Entanglement-assisted (Quantum) Communication Networks

11:30am - 12:00pm (EDT)
TUT-16: Online Learning for Wireless Communications: Theory, Algorithms, and Applications
TUT-25: 5G-and-Beyond V2X Communication Technologies and Enablers for Connected and Automated Vehicles
TUT-26: Tactile Internet with Human-in-the-Loop
TUT-27: Semantics in Communications: The Example of Information Freshness
TUT-29: Non-Terrestrial Networks (NTN): The Next 20 Years


TUT-01: Reconfigurable Intelligent Surfaces for Future Wireless Communications

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:00am - 09:30am (EDT) (Live Q&A Session)

Speakers: Alessio Zappone, Marco Di Renzo, and Merouane Debbah

Bios:

Alessio Zappone

Alessio Zappone (SM'16) received his M.Sc. and Ph.D. both from the University of Cassino and Southern Lazio (Cassino, Italy). In 2012 he has worked with the Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT) in the framework of the FP7 EU-funded project TREND. From 2012 to 2016 he has been with the Dresden University of Technology, managing the project CEMRIN on energy-efficient resource allocation in wireless networks, funded by the German research foundation (DFG). In 2017 he was the recipient of the H2020 MSCA-IF BESMART fellowship for experienced researchers, carried out at the LANEAS group of CentraleSupelec (Gif-sur-Yvette, France). He serves as senior editor of the IEEE Signal Processing Letters and has served as guest editor for two special issue of the IEEE Journal on Selected Areas in Communications, one on Energy-efficient Techniques for 5G, and one on Wireless Networks Empowered by Reconfigurable Intelligent Surfaces. Since 2019, he is a tenured professor at the University of Cassino and Southern Lazio.

Marco Di Renzo

Marco Di Renzo (F’20) received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation á Diriger des Recherches (Doctor of Science) degree from University Paris-Sud, France, in 2013. Since 2010, he has been a Chargé de Recherche CNRS (CNRS Associate Professor) in the Laboratory of Signals and Systems (L2S) of Paris-Saclay University - CNRS, CentraleSupélec, Univ Paris Sud, Paris, France. He serves as the Associate Editor-in-Chief of IEEE Communications Letters, and as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society, and a Senior Member of the IEEE. He is a recipient of several awards, including the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa, the 2013 NoE-NEWCOM# Best Paper Award, the 2014-2015 Royal Academy of Engineering Distinguished Visiting Fellowship, the 2015 IEEE Jack Neubauer Memorial Best System Paper Award, the 2015-2018 CNRS Award for Excellence in Research and Ph.D. Supervision, the 2016 MSCA Global Fellowship (declined), the 2017 SEE-IEEE Alain Glavieux Award, the 2018 IEEE-COMSOC Young Professional in Academia Award, and 7 Best Paper Awards at IEEE conferences (2012 and 2014 IEEE CAMAD, 2013 IEEE VTC-Fall, 2014 IEEE ATC, 2015 IEEE ComManTel, 2017 IEEE SigTelCom, EAI 2018 INISCOM, IEEE ICC 2019).

Merouane Debbah

Mérouane Debbah entered the Ecole Normale Supérieure de Cachan (France) in 1996 where he received his M.Sc and Ph.D. degrees respectively. He worked for Motorola Labs (Saclay, France) from 1999-2002 and the Vienna Research Center for Telecommunications (Vienna, Austria) until 2003. From 2003 to 2007, he joined the Mobile Communications department of the Institut Eurecom (Sophia Antipolis, France) as an Assistant Professor. Since 2007, he is a Full Professor at CentraleSupelec (Gif-sur-Yvette, France). From 2007 to 2014, he was the director of the Alcatel-Lucent Chair on Flexible Radio. Since 2014, he is Vice-President of the Huawei France R&D center and director of the Mathematical and Algorithmic Sciences Lab. His research interests lie in fundamental mathematics, algorithms, statistics, information & communication sciences research. He is an Associate Editor in Chief of the journal Random Matrix: Theory and Applications and was an associate and senior area editor for IEEE Transactions on Signal Processing respectively in 2011-2013 and 2013-2014. Mérouane Debbah is a recipient of the ERC grant MORE (Advanced Mathematical Tools for Complex Network Engineering). He is a IEEE Fellow, a WWRF Fellow and a member of the academic senate of Paris-Saclay. He has managed 8 EU projects and more than 24 national and international projects. He received 17 best paper awards, among which the 2007 IEEE GLOBECOM best paper award, the Wi-Opt 2009 best paper award, the 2010 Newcom++ best paper award, the WUN CogCom Best Paper 2012 and 2013 Award, the 2014 WCNC best paper award, the 2015 ICC best paper award, the 2015 IEEE Communications Society Leonard G. Abraham Prize, the 2015 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society Best Tutorial paper award, the 2016 European Wireless Best Paper Award and the 2017 Eurasip Best Paper Award as well as the Valuetools 2007, Valuetools 2008, CrownCom2009, Valuetools 2012 and SAM 2014 best student paper awards. He is the recipient of the Mario Boella award in 2005, the IEEE Glavieux Prize Award in 2011 and the Qualcomm Innovation Prize Award in 2012.

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TUT-02: Deep Reinforcement Learning and Its Applications in Future Wireless Networks

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:30am - 10:00am (EDT) (Live Q&A Session)

Speakers: Ekram Hossain, Dinh Thai Hoang, Dusit Niyato, and Shimin Gong

Abstract: Deep reinforcement learning (DRL) has been developing as a promising solution to address high dimensional and continuous control problems effectively, by the use of deep neural networks (DNNs) as powerful function approximators. The integration of DRL into future wireless networks will revolutionize the conventional model-based network optimization to model-free approaches and meet various application demands. By interacting with the environment, DRL provides an autonomous decision-making mechanism for the network entities to solve non-convex, complex model-free problems, e.g., spectrum access, handover, scheduling, caching, data offloading, and resource allocation. This not only reduces the communication overheads but also improves network security and robustness. Though DRL has shown great potential to address emerging issues in complex wireless networks, there are still domain-specific challenges that require further investigation. These may include the design of proper DNN architectures to capture the characteristics of 5G network optimization problems, the state explosion in dense networks, multi-agent learning in dynamic networks, limited training data and exploration space in practical networks, the inaccessibility and high cost of network information, as well as the balance between information quality and learning performance.

The main objective of this tutorial is to provide fundamental background of DRL and then study recent advances in DRL to address practical challenges in wireless networks. In particular, we first give a tutorial of deep reinforcement learning from basic concepts to advanced models to motivate and provide fundamental knowledge for the audiences. We then provide a case study together with implementation details to help the audiences having better understanding how to practice with DRL. After that, we review deep reinforcement learning approaches proposed to address emerging issues in communications and networking. The issues include dynamic network access, data rate control, wireless caching, data offloading, network security, and connectivity preservation which are all important to next generation networks such as 5G and beyond. Finally, we highlight important challenges, open issues, and future research directions of applying deep reinforcement learning.

Bios:

Ekram HossainEkram Hossain

(F’15) is a Professor in the Department of Electrical and Computer Engineering at University of Manitoba, Canada. He is a Member (Class of 2016) of the College of the Royal Society of Canada. Dr. Hossain’s current research interests include design, analysis, and optimization of wireless communication networks with emphasis on 5G and B5G cellular networks. He has authored/edited several books in these areas (http://home.cc.umanitoba.ca/_hossaina). To date, his research works have received more than 31,200 citations in Google Scholar (with h-index = 91). He has presented numerous invited talks/seminars as well as tutorials in IEEE conferences including IEEE Globecom, ICC, WCNC, and VTC. He was a Distinguished Lecturer of the IEEE Communications Society for two consecutive terms (2012-2015). Currently he is a Distinguished Lecturer of the IEEE Vehicular Technology Society (2017-) and also IEEE Communications Society (2018-). He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2017, 2018, and 2019. Dr. Hossain has won several research awards including the “2017 IEEE Communications Society Best Survey Paper Award” and the “2011 IEEE Communications Society Fred Ellersick Prize Paper Award”. Currently he serves as the Editor-in-Chief of IEEE Press (2018-).

Dinh Thai HoangDinh Thai Hoang

Dinh Thai Hoang is currently a faculty member with the School of Electrical and Data Engineering, the University of Technology Sydney, Australia. He received his Ph.D. in Computer Science and Engineering from the Nanyang Technological University, Singapore, in 2016. His research interests include emerging topics in wireless communications and networking such as ambient backscatter communications, deep reinforcement learning, wireless energy harvesting, IoT, mobile edge and 5G/6G networks. He has published near 100 technical papers in these areas. He is the lead author of an authored book “Ambient Backscatter Communication Networks” published by Cambridge Publisher in 2020. He is an Exemplary Reviewer of IEEE Transactions on Communications in 2018 and an Exemplary Reviewer of IEEE Transactions on Wireless Communications in 2017 and 2018. Currently, he is an editor of IEEE Wireless Communications Letters and IEEE Transactions on Cognitive Communications and Networking.

Dusit NiyatoDusit Niyato

Dusit Niyato (M09-SM15-F17) is currently a professor in the School of Computer Science and Engineering and, by courtesy, School of Physical & Mathematical Sciences, at the Nanyang Technological University, Singapore. He received B.E. from King Mongkuks Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. He has published more than 380 technical papers in the area of wireless and mobile networking, and is an inventor of four US and German patents. He has authored four books including “Game Theory in Wireless and Communication Networks: Theory, Models, and Applications” with Cambridge University Press. He won the Best Young Researcher Award of IEEE Communications Society (ComSoc) Asia Pacific (AP) and The 2011 IEEE Communications Society Fred W. Ellersick Prize Paper Award. Currently, he is serving as a senior editor of IEEE Wireless Communications Letter, an area editor of IEEE Transactions on Wireless Communications (Radio Management and Multiple Access), an area editor of IEEE Communications Surveys and Tutorials (Network and Service Management and Green Communication), an editor of IEEE Transactions on Communications, an associate editor of IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology, and IEEE Transactions on Cognitive Communications and Networking. He was a guest editor of IEEE Journal on Selected Areas on Communications. He was a Distinguished Lecturer of the IEEE Communications Society for 2016-2017. He was named the 2017, 2018, 2019 highly cited researcher in computer science. He is a Fellow of IEEE.

Shimin GongShimin Gong

Shimin Gong is currently an Associate Professor with the School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China. He received the Ph.D. degree in Computer Engineering from Nanyang Technological University, Singapore, in 2014. He was an associate researcher with the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. His research interests include Internet of Things (IoT), wireless powered communications, and backscatter communications, with a special focus on optimization and machine learning in wireless communications. He was a recipient of the Best Paper Award on MAC and Cross-layer Design in IEEE WCNC 2019. He has been the Lead Guest Editor of the IEEE Transactions on Wireless Communications, a special issue on Deep Reinforcement Learning on Future Wireless Communication Networks.

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TUT-03: Rate Splitting Multiple Access for Beyond 5G: Principles, Recent Advances, and Future Research Trends

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:00am - 10:30am (EDT) (Live Q&A Session)

Speakers: Bruno Clerckx and Yijie Mao

Bios:

Bruno ClerckxBruno Clerckx

Prof. Bruno Clerckx is Professor of Wireless Communications and Signal Processing, the Head of the Wireless Communications and Signal Processing Lab, and the Deputy Head of the Communications and Signal Processing Group, within the Electrical and Electronic Engineering Department, Imperial College London, London, U.K. He received the M.Sc. and Ph.D. degrees in Electrical Engineering from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, in 2000 and 2005, respectively. From 2006 to 2011, he was with Samsung Electronics, Suwon, South Korea, where he actively contributed to 3GPP LTE/LTE-A and IEEE 802.16m and acted as the Rapporteur for the 3GPP Coordinated Multi-Point (CoMP) Study Item. Since 2011, he has been with Imperial College London, first as a Lecturer from 2011 to 2015, Senior Lecturer from 2015 to 2017, Reader from 2017 to 2020, and now as Professor. From 2014 to 2016, he also was an Associate Professor with Korea University, Seoul, South Korea. He also held various long or short-term visiting research appointments at Stanford University, EURECOM, National University of Singapore, The University of Hong Kong, Princeton University, The University of Edinburgh, The University of New South Wales, and Tsinghua University.

Yijie MaoYijie Mao

Yijie (Lina) Mao is currently a postdoctoral research associate with the Communications and Signal Processing Group (CSP), Department of the Electrical and Electronic Engineering at the Imperial College London (London, United Kingdom). She is working with Prof. Bruno Clerckx.

She received the B.Eng. degree from the Beijing University of Posts and Telecommunications, and the B.Eng. (Hons.) degree from the Queen Mary University of London (London, United Kingdom) in 2014. She received the Ph.D. degree in the Electrical and Electronic Engineering Department from the University of Hong Kong (Hong Kong, China) in 2018 under the supervision of Prof. Victor O.K. Li. She was a Postdoctoral Research Fellow at the University of Hong Kong (Hong Kong, China) from Oct. 2018 to Jul. 2019.

Her research interests include Multiple Input Multiple Output (MIMO) communication networks, rate-splitting and non-orthogonal multiple access for 5G and beyond.

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TUT-04: User-Centric Cell-Free Massive MIMO: From Foundations to Scalable Implementation

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:30am - 11:00am (EDT) (Live Q&A Session)

Speakers: Emil Björnson, Luca Sanguinetti, and Ozlem Demir

Bios:

Emil BjörnsonEmil Björnson

Emil Björnson received the M.S. degree in Engineering Mathematics from Lund University, Sweden, in 2007. He received the Ph.D. degree in Telecommunications from KTH Royal Institute of Technology, Sweden, in 2011. From 2012 to mid-2014, he was a joint postdoc at the Alcatel-Lucent Chair on Flexible Radio, SUPELEC, France, and at KTH. He joined Linköping University, Sweden, in 2014 and is currently Associate Professor and Docent at the Division of Communication Systems. He teaches Master level courses on communications and is responsible for the Master programme in Communication Systems.

Luca SanguinettiLuca Sanguinetti

Luca received the Laurea degree (cum laude) in telecommunications engineer and the Ph.D. degree in information engineering from the University of Pisa, Italy, in 2002 and 2005, respectively. Since 2005, he has been with the “Dipartimento di Ingegneria dell’Informazione”, University of Pisa. In 2004, he was a visiting Ph.D. Student with the German Aerospace Center, Oberpfaffenhofen, Germany. From 2007 to 2008, he was a Post-Doctoral Associate with the Department Electrical Engineering, Princeton. In 2010, he was selected for a Research Assistantship with the Technische Universitat Munchen. From 2013 to 2017, he was with the Large Systems and Networks Group, CentraleSupélec, Gif-sur-Yvette, France.

He served as the Exhibit Chair of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing and as the General Co-Chair of the 2016 Tyrrhenian Workshop on 5G&Beyond. He also served as a Technical Co-Chair of European Wireless 2018, and as Special Session Chair of ISWCS18. I’m the general chair of SPAWC 2021 (Lucca, June 2021), and also the executive co-chair of ICC 2023 (Rome, May 2023).

He received the 2018 Marconi Prize Paper Award in Wireless Communications and co-authored a paper that received the young best paper award from the ComSoc/VTS Italy Section. He was a co-recipient of two best paper awards: the IEEE Wireless Communications and Networking Conference (WCNC) 2013 and the IEEE WCNC 2014. He was also a recipient of the FP7Marie Curie IEF 2013 DENSE4GREEN (Dense deployments for green cellular networks).

Ozlem Demir

Özlem Tugfe Demir received the B.S., M.S., and Ph.D. degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2012, 2014, and 2018, respectively. She was a Postdoctoral Researcher with Linköping University, Sweden in 2019-2020. She is currently a Postdoc with KTH Royal Institute of Technology, Sweden. She has co-authored the textbook Foundations of User-Centric Cell-Free Massive MIMO (2021). Her research interests focus on signal processing and optimization in wireless communications, massive MIMO, beyond 5G multiple antenna technologies, deep learning, and green communications. She is a recipient of the IEEE SIU 2015 Conference Student Best Paper Award, the Best Thesis Award for M.S. Program and Graduate Courses Performance Award at the Middle East Technical University.

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TUT-05: The Future of UAV Cellular Communications

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:00am - 11:30am (EDT) (Live Q&A Session)

Speakers: Giovanni Geraci and Adrian Garcia-Rodriguez

Bios:

Giovanni GeraciGiovanni Geraci

He is an Assistant Professor at University Pompeu Fabra (UPF) in Barcelona, and the coordinator of the Telecommunications Engineering degree. He was previously a Research Scientist with Nokia Bell Labs and hold a Ph.D. from UNSW Sydney. He also held research appointments at the Singapore University of Technology and Design, The University of Texas at Austin, CentraleSupelec, and Alcatel-Lucent.

He is a Distinguished Lecturer of the IEEE Communications Society, an Editor for the IEEE Transactions on Wireless Communications and IEEE Communications Letters, and the Wireless Communications Symposium co-Chair for IEEE ICC’22. He is a frequent organizer of IEEE international workshops, have featured in over ten IEEE industry seminars, tutorials and workshop keynotes, and am co-Editor of the book “UAV Communications for 5G and Beyond” (Wiley – IEEE Press, 2020). I am co-inventor of a dozen patents, have written for the IEEE ComSoc Technology News, and received international press coverage.

He was awarded two of the most competitive early-career research fellowships in Spain: a “la Caixa” Junior Leader (2018-2021) and a “Ramon y Cajal” (2021-2026) Fellowship. I was named an Exemplary Reviewer for the IEEE Transactions on Wireless Communications in 2017 and 2018. I received the Nokia Bell Labs Ireland Certificate of Outstanding Achievement in 2017, the IEEE Communications Society Outstanding Young Researcher Award for Europe, Middle-East, and Africa in 2018, and the IEEE PIMRC Best Paper Award in 2019.

Adrian Garcia-Rodriguez

Adrian Garcia-Rodriguez is a Senior Research Engineer at Huawei Technologies R&D (France). He received the Ph.D. degree in Electrical and Electronic Engineering from University College London (U.K.), and he was a Research Scientist at Nokia Bell Labs (Ireland) in 2016-2020. Adrian is a co-inventor of 27 filed patent families and has co-authored 40+ IEEE publications on wireless communications and networking with 1k+ citations.

On these topics, he frequently delivers technical tutorials (IEEE WCNC’18, IEEE ICC’18, IEEE PIMRC’18, and IEEE Globecom’18), organizes workshops and special sessions (IEEE Globecom’17, Asilomar’18, and IEEE ICC’19), and participates in industrial seminars (IEEE Globecom’18, and IEEE ICC’19). Adrian was a speaker of the industrial tutorial “Drone Base Stations: Opportunities and Challenges Towards a Truly ‘Wireless’ Wireless Network”, which won the Most Attended Industry Program award at IEEE Globecom’17.

Adrian was the recipient of the Best Paper Award in PIMRC’19 for his work on “Cellular UAV-to-UAV Communications” and was also named an Exemplary Reviewer for IEEE Commun. Letters in 2016, and both IEEE Trans. on Wireless Commun. and IEEE Trans. on Commun. in 2017.

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TUT-06: Wireless Communications for Federated Learning

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:30am - 10:00am (EDT) (Live Q&A Session)

Speakers: Kai Kit Wong, Kaibin Huang, Mingzhe Chen, and Zhaohui Yang

Bios:

Kai Kit WongKai Kit Wong

Kai-Kit Wong received the BEng, the MPhil, and the PhD degrees, all in Electrical and Electronic Engineering, from the Hong Kong University of Science and Technology (HKUST), Hong Kong, in 1996, 1998, and 2001, respectively. His PhD thesis was on multiuser MIMO wireless communications, supervised by Professor Ross Murch (Primary Supervisor) and Professor Khaled Ben Letaief (Co-Supervisor). After graduation, he joined the Department of Electrical and Electronic Engineering, the University of Hong Kong as a Research Assistant Professor, working closely with Professor Tung-Sang Ng. From July 2003 to December 2003, he visited the Wireless Communications Research Department of Lucent Technologies, Bell-Labs, Holmdel, NJ, U.S., to study the optimization in broadcast MIMO channels, under the supervision of Dr. G. J. Foschini and Dr. R. Valenzuela. After that, he then joined the Smart Antennas Research Group of Stanford University as Visiting Assistant Professor conducting research on overloaded MIMO signal processing, under the supervision of Professor Arogyaswami Paulraj. From 2005 to August 2006, he was with the Department of Engineering, the University of Hull, U.K., as Communications Lecturer. Since August 2006, he has been with University College London, first at Adastral Park Campus and at present the Department of Electronic and Electrical Engineering, where he is Professor of Wireless Communications.

Professor Wong is Fellow of IEEE and Fellow of IET. He is Editor-in-Chief for the IEEE Wireless Communications Letters and the Subject Editor-in-Chief for IET Electronics Letters - Wireless Communications. He also served as Senior Editor for IEEE Communications Letters from 2012-2019, Editor for IEEE ComSoc/KICS Journal of Communications and Networks from 2010-2017, IET Communications from 2009-2016, IEEE Transactions on Wireless Communications from 2005-2011 and IEEE Signal Processing Letters from 2009-2012.

His current research interests center around:

  • 5G, 6G, ...
  • Fluid antenna systems and multiple access
  • Metasurface signal processing and surface wave communications
  • Multi-agent AI synergising machine learning and game theory
  • Other more traditional topics such as UAV, MIMO, physical-layer security, etc.

Kaibin HuangKaibin Huang

Bio can be found at: https://www.eee.hku.hk/~wirelesslab/

Mingzhe Chen

Mingzhe Chen is currently a postdoctoral fellow at the Electrical Engineering Department of Princeton University and at the Chinese University of Hong Kong, Shenzhen, China. His research interests include machine learning, virtual reality, unmanned aerial vehicles, game theory, wireless networks, and caching.

Zhaohui YangZhaohui Yang

Bio is forthcoming

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TUT-07: MetaEverything: Intelligent Meta-Surface Aided Sensing and Communications

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:30am - 10:00am (EDT) (Live Q&A Session)

Speakers: Boya Di, Hongliang Zhang, Lingyang Song, and Zhu Han

Bios:

Boya Di

She is currently a Research Associate in the Department of Computing at Imperial College, working with Prof. Nick Jennings since Aug. 2019. She received her Ph.D. in July 2019 from the Department of Electronics Engineering at Peking University, Beijing, China, under the supervision of Prof. Lingyang Song. Prior to that, she could obtained her Bachelor's Degree from Peking University in 2014.

Her research interests include aerial access networks, vehicular networks, edge computing, reconfigurable intelligent surfaces, NOMA, and distributed multi-agent systems. She served as the TPC member for a number of conferences including GLOBECOM, ICC, WCNC, and ICCC. Now she is a committee member of Women in Computing at Imperial.

Hongliang ZhangHongliang Zhang

Bio is forthcoming

Lingyang Song

Bio is forthcoming

Zhu HanZhu Han

Zhu Han is a John and Rebecca Moores Professor of electrical engineering at the University of Houston. He was named Fellow of the Institute of Electrical and Electronics Engineers in 2014 for contributions to resource allocation and security in wireless communications.

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TUT-08: Interference Exploitation through Symbol Level Precoding: Energy Efficient Transmission for 6G and Beyond

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:00am - 10:30am (EDT) (Live Q&A Session)

Speakers: Christos Masouros, Ang Li, and Lee Swindlehurst

Bios:

Christos MasourosChristos Masouros

Christos Masouros (SMIEEE, MIET) received the Diploma degree in Electrical and Computer Engineering from the University of Patras, Greece, in 2004, and MSc by research and PhD in Electrical and Electronic Engineering from the University of Manchester, UK in 2006 and 2009 respectively. In 2008 he was a research intern at Philips Research Labs, UK. Between 2009-2010 he was a Research Associate in the University of Manchester and between 2010-2012 a Research Fellow in Queen's University Belfast. In 2012 he joined University College London as a Lecturer. He has held a Royal Academy of Engineering Research Fellowship between 2011-2016.

He is currently a Full Professor in the Information and Communication Engineering research group, Dept. Electrical and Electronic Engineering, and affiliated with the Institute for Communications and Connected Systems, University College London. His research interests lie in the field of wireless communications and signal processing with particular focus on Green Communications, Large Scale Antenna Systems, Communications and Radar Co-existence, interference mitigation techniques for MIMO and multicarrier communications. He was the recipient of the Best Paper Awards in the IEEE GlobeCom 2015 and IEEE WCNC 2019 conferences, and has been recognised as an Exemplary Editor for the IEEE Communications Letters, and as an Exemplary Reviewer for the IEEE Transactions on Communications. He is an Editor for IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, the IEEE Open Journal of Signal Processing, and Editor-at-Large for IEEE Open Journal of the Communications Society. He has been an Associate Editor for IEEE Communications Letters, and a Guest Editor for IEEE Journal on Selected Topics in Signal Processing issues “Exploiting Interference towards Energy Efficient and Secure Wireless Communications” and “Hybrid Analog / Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays”. He is a founding member and Vice-Chair of the IEEE Special Interest Group on Integrated sensing and communications (ISAC), and Chair of the IEEE Special Interest Group on Energy Harvesting Communication Networks and an elected member of the EURASIP TAC Signal Processing for Communications.

Ang Li

Bio is forthcoming

Lee SwindlehurstLee Swindlehurst

A. LEE SWINDLEHURST received the B.S. and M.S. degrees in Electrical Engineering from Brigham Young University, Provo, Utah, in 1985 and 1986, respectively, and the PhD degree in Electrical Engineering from Stanford University in 1991. From 1986-1990, he was employed at ESL, Inc., of Sunnyvale, CA, where he was involved in the design of algorithms and architectures for several radar and sonar signal processing systems. He was on the faculty of the Department of Electrical and Computer Engineering at Brigham Young University from 1990-2007, where he was a Full Professor and served as Department Chair from 2003-2006. During 1996-1997, he held a joint appointment as a visiting scholar at both Uppsala University, Uppsala, Sweden, and at the Royal Institute of Technology, Stockholm, Sweden. From 2006-07, he was on leave working as Vice President of Research for ArrayComm LLC in San Jose, California. He is currently a Professor in the Electrical Engineering and Computer Science Department at the University of California Irvine (UCI), a former Associate Dean for Research and Graduate Studies in the Henry Samueli School of Engineering at UCI, and a former Hans Fischer Senior Fellow in the Institute for Advanced Studies at the Technical University of Munich.

Dr. Swindlehurst is a Fellow of the IEEE, past Editor-in-Chief of the IEEE Journal of Selected Topics in Signal Processing, and past member of the Editorial Boards for the EURASIP Journal on Wireless Communications and Networking, IEEE Signal Processing Magazine, and the IEEE Transactions on Signal Processing. He is a recipient of several paper awards: the 2000 IEEE W. R. G. Baker Prize Paper Award, the 2006 and 2010 IEEE Signal Processing Society’s Best Paper Awards, the 2006 IEEE Communications Society Stephen O. Rice Prize in the Field of Communication Theory, and the 2017 IEEE Signal Processing Society Donald G. Fink Overview Paper Award.

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TUT-09: Localization-of-Things: from Foundation to 5G Ecosystem

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:00am - 11:30am (EDT) (Live Q&A Session)

Speakers: Moe Win and Andrea Conti

Bios:

Moe Win

Dr. Win is a professor in the Laboratory for Information & Decision Systems (LIDS). Prior to joining LIDS, he spent 5 years at AT&T Research Laboratories and 7 years at the Jet Propulsion Laboratory.

His main research interests are the application of mathematical and statistical theories to communication, detection, and estimation problems. Specific current research topics include measurement and modeling of time-varying channels, design and analysis of multiple antenna systems, ultra-wide bandwidth (UWB) communications systems, optical communications systems, and space communications systems.

Moe Win received the BS degree (magna cum laude) from Texas A&M University in 1987 and the MS degree from the University of Southern California (USC) in 1989, both in electrical engineering. As a presidential fellow at USC, he received both an MS degree in applied mathematics and the PhD degree in electrical engineering in 1998.

Andrea Conti

Bio is forthcoming

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TUT-10: Deep Learning and Reinforcement Learning for Wireless Network Optimization in PHY and MAC Layers

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:00am - 09:30am (EDT) (Live Q&A Session)

Speakers: Haijun Zhang, Yansha Deng, and Arumugam Nallanathan

Bios:

Haijun ZhangHaijun Zhang

Haijun Zhang is currently a Full Professor at the University of Science and Technology Beijing, China. He was a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering, the University of British Columbia (UBC), Canada. He is currently the Associate Dean in the Institute of Artificial Intelligence, University of Science and Technology Beijing. He serves as an Editor of IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, and IEEE Communications Letters. He received the IEEE CSIM Technical Committee Best Journal Paper Award in 2018, IEEE ComSoc Young Author Best Paper Award in 2017, and IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2019.

Yansha DengYansha Deng

Yansha Deng is currently a Lecturer (Assistant Professor) with the Department of Engineering at King’s College London. She received a PhD degree in electrical engineering from the Queen Mary University of London, U.K., in 2015. From 2015 to 2017, she was a Post-Doctoral Research Fellow with Kings College London, U.K. Her research interests include machine learning for 5G & 6G wireless networks and molecular communications. She was a recipient of the Best Paper Awards from ICC 2016 and GLOBECOM 2017 as the first author. She is currently an Associate Editor of the IEEE Transactions on Communications, IEEE Internet of Things Magazine, IEEE Transactions on Molecular, Biological and Multi-scale Communications, and the Senior Editor of the IEEE Communication Letters. She also received the Exemplary Reviewers of the IEEE Transactions on Communications in 2016 and 2017, and IEEE Transactions on Wireless Communications in 2018.

Arumugam NallanathanArumugam Nallanathan

Arumugam Nallanathan is Professor of Wireless Communications and the Founding Head of the Communication Systems Research (CSR) group in the School of Electronic Engineering and Computer Science at Queen Mary University of London since September 2017. He was with the Department of Informatics at King’s College London from December 2007 to August 2017, where he was Professor of Wireless Communications from April 2013 to August 2017. He was an Assistant Professor in the Department of Electrical and Computer Engineering, National University of Singapore from August 2000 to December 2007.

He is an Editor-in-Large for IEEE Transactions on Communications and a Senior Editor for IEEE Wireless Communications Letters. He was an Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, and IEEE Signal Processing Letters. He served as the Chair for the Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and Technical Program Chair and member of Technical Program Committees in numerous IEEE conferences. He received the IEEE Communications Society SPCE outstanding service award 2012 and IEEE Communications Society RCC outstanding service award 2014. He has been selected as a Web of Science (ISI) Highly Cited Researcher in 2016. He is an IEEE Fellow and IEEE ComSoc Distinguished Lecturer.

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TUT-11: Efficient Global Optimization and its Application to Wireless Interference Networks

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:30am - 11:00am (EDT) (Live Q&A Session)

Speakers: Bho Matthiesen and Eduard Jorswieck

Bios:

Bho MatthiesenBho Matthiesen

Bho Matthiesen was born in Wyk auf Föhr, Germany. He received the Diplom-Ingenieur (M.Sc.) degree in electrical engineering from Technische Universität Dresden, Dresden, Germany, in 2012, and the Ph.D. degree (with distinction) in electrical engineering from Technische Universität Dresden in 2019.

From 2008 to 2010, he was a Student Research Assistant at Technische Universtät Dresden. From 2010 to 2011, he was Research Assistant at Fraunhofer Institute for Telecommunications in Berlin, Germany. From 2012 to 2019, he was a Research Associate with the Chair of Communications Theory, Technische Universität Dresden. He is currently a research group leader at the U Bremen Excellence Chair of Petar Popovski in the Department of Communications Engineering, University of Bremen, Germany. His research interests are in communication theory, wireless communications, and optimization theory.

Dr. Matthiesen is a Member of IEEE ComSoc and IEEE SPS. He is an Exemplary Reviewer 2020 of the IEEE Wireless Communications Letters, and was an invited speaker at the 2nd 6G Wireless Summit 2020. He serves as a publication chair for the International Symposium on Wireless Communication Systems (ISWCS) 2020/2021, and is an associate editor for the EURASIP Journal on Wireless Communications and Networking.

Eduard Axel JorswieckEduard Jorswieck

Eduard Axel Jorswieck received the Diplom-Ingenieur (M.S.) degree and the Doktor-Ingenieur (Ph.D.) degree, both in electrical engineering and computer science, from the Technische Universitaet Berlin, Berlin, Germany, in 2000 and 2004, respectively. He was with the Broadband Mobile Communication Networks Department, Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institut, Berlin, Germany, from 2000 to 2008. From 2005 to 2008, he was a Lecturer with the Technische Universitaet Berlin. From 2006 to 2008, he was with the Department of Signals, Sensors and Systems, Royal Institute of Technology, as a Postdoctoral Researcher and an Assistant Professor. From 2008 until 2019, he was the head of the Chair of Communications Theory and Full Professor at Dresden University of Technology (TUD), Germany. Since August 2019, he has been the head of the Chair for Communications Systems and Full Professor at Technische Universitaet Braunschweig, Germany. Since April 2020, he acts as managing director for the Institute of Communications Technology. Eduard’s main research interests are in the broad area of communications. He has published more than 140 journal papers, 13 book chapters, 3 monographs, and some 290 conference papers on these topics. Dr. Jorswieck is IEEE Fellow. Since 2017, he serves as Editor-in-Chief of the EURASIP Journal on Wireless Communications and Networking. He has served on the editorial boards of IEEE Signal Processing Letters, IEEE Transactions on Wireless Communications, IEEE Transactions on Signal Processing, IEEE Transactions on Information Forensics and Security. Dr. Jorswieck was a corecipient of the IEEE Signal Processing Society Best Paper Award in 2006 and coauthored papers that won the Best Paper or Best Student Paper Awards at the 2002 IEEE International Symposium on Wireless Personal Multimedia Communications (WPMC), the 2010 International ICST Conference on Communications and Networking in China (Chinacom), the 2011 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), the 2012 IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), and the 2012 IEEE International Conference on Wireless Communications & Signal Processing (WCSP), the IEEE 2018 International Conference on Ubiquitous and Future Networks (ICUFN), the 2019 Privacy Enhancing Technologies Symposium (PETS), and the 2019 International Symposium on Wireless Communication Systems (ISWCS). He has been elected member of the IEEE Signal Processing for Communications and Networking (SPCOM) Technical Committee (2008–2013), and member of the IEEE Sensor Array and Multichannel (SAM) Technical Committee since (2015-2020).

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TUT-12 - 6G Wireless Systems: Challenges and Opportunities

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:30am - 11:00am (EDT) (Live Q&A Session)

Speakers: Walid Saad and Mehdi Bennis

Bios:

Walid SaadWalid Saad

Walid received his Ph.D degree from the University of Oslo in 2010. Currently, he is an Associate Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network Science, Wireless, and Security (NetSciWiS) laboratory, within the Wireless@VT research group. His research interests include wireless networks, machine learning, game theory, cybersecurity, unmanned aerial vehicles, and cyber-physical systems. Dr. Saad is the recipient of the NSF CAREER award in 2013, the AFOSR summer faculty fellowship in 2014, and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of six conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, and EuCNC in 2017. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society and of the 2017 IEEE ComSoc Best Young Professional in Academia award. From 2015-2017, Dr. Saad was named the Stephen O. Lane Junior Faculty Fellow at Virginia Tech and, in 2017, he was named College of Engineering Faculty Fellow.

Mehdi BennisMehdi Bennis

Dr Mehdi Bennis is an Associate Professor at the Centre for Wireless Communications, University of Oulu, Finland, Academy of Finland Research Fellow and head of the intelligent connectivity and networks/systems group (ICON). His main research interests are in radio resource management, heterogeneous networks, game theory and distributed machine learning in 5G networks and beyond. He has published more than 200 research papers in international conferences, journals and book chapters. He has been the recipient of several prestigious awards including the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, the 2016 Best Tutorial Prize from the IEEE Communications Society, the 2017 EURASIP Best paper Award for the Journal of Wireless Communications and Networks, the all-University of Oulu award for research, the 2019 IEEE ComSoc Radio Communications Committee Early Achievement Award and the 2020 Clarviate Highly Cited Researcher by the Web of Science. Dr Bennis is an editor of IEEE TCOM and Specialty Chief Editor for Data Science for Communications in the Frontiers in Communications and Networks journal. Dr Bennis is an IEEE Fellow.

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TUT-13: Tools and Techniques for Future Spectrum Sharing and Coexistence

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:30am - 11:00am (EDT) (Live Q&A Session)

Speakers: Constantinos Papadias, Tharmalingam Ratnarajah, and Dirk Slock

Bios:

Constantinos PapadiasConstantinos Papadias

Diploma in Electrical Engineering, National Technical University of Athens; PhD in Signal Processing, Ecole Nationale Supérieure des Télécommunications (Telecom Paris)

Dr. Papadias has been a member of the department of Information Technology at Deree and the Executive Director of ACG’s Research, Technology and Innovation Network (RTIN), since Feb. 2020. He is also Adjunct Professor at Aalborg University in Denmark and at the University of Cyprus. He was Dean (2014-2019) and Professor (2006-2019) at Athens Information Technology, Technical Manager (2001-2006) and Researcher (1997-2001) at Bell Labratories, Adjunct Professor at Carnegie Mellon University (2006-2011) and at Columbia University (2004-2005), post-doctoral researcher at Stanford University (1995-1997) and researcher at Institut Eurécom (1992-1995). His teaching and research interests include wireless communications, signal processing, antenna systems and machine learning, among others. He has published over 200 papers and 4 books, holds 12 patents and has received over 9000 citations and several recognitions for his work. He has attracted research grants whose total value exceeds 25M€. Ηe is a Fellow of the IEEE and of the European Alliance of Innovation.

Tharmalingam RatnarajahTharmalingam Ratnarajah

T. Ratnarajah (S'94, A'96, M'05, SM'05) holds B. Eng. (Hons), M.Sc. and Ph.D. degrees. He is an internationally renowned scholar with a strong commitment to excellence, creativity, and visionary thinking. He has been active in the area of wireless communications, signal processing, information theory and random matrix theory research for the past 27 years and has an outstanding international track record and reputation for his research in this field, as recognized by over 400 peer reviewed papers and four US patents. His papers received over 6000 citations.

He is currently with the Institute for Digital Communications, the University of Edinburgh, Edinburgh, UK, as a Professor in Digital Communications and Signal Processing. He was a Head of the Institute for Digital Communications during 2016-2018. He has supervised 15 PhD students and 20 post-doctoral research fellows, and raised $11 million (USD)+ of research funding.

He was the coordinator of the EU projects ADEL (3.7M €) in the area of licensed shared access for 5G wireless networks and HARP (4.6M €) in the area of highly distributed MIMO and EU Future and Emerging Technologies projects HIATUS (3.6M €) in the area of interference alignment and CROWN (3.4M €) in the area of cognitive radio networks. Dr Ratnarajah was an associate editor IEEE Transactions on Signal Processing, 2015-2017 and Technical co-chairs, The 17th IEEE International workshop on Signal Processing advances in Wireless Communications, Edinburgh, UK, 3-6, July, 2016. Dr. Ratnarajah is a member of the American Mathematical Society and Information Theory Society and Fellow of Higher Education Academy (FHEA).

Dr Ratnarajah was born and educated up to secondary school level in Sri Lanka. He left Sri Lanka in December 1989 to pursue his higher education (BEng (Hons), MSc and PhD) and has been working in various places in United Kingdom and Canada. He is a naturalized citizen of Canada since 2000 and a naturalized citizen of United Kingdom since 2010.

Dirk SlockDirk Slock

Dirk T.M. Slock received an engineering degree from the University of Gent, Belgium in 1982.

In 1984 he was awarded a Fulbright scholarship for Stanford University USA, where he received the MS in Electrical Engineering, MS in Statistics, and PhD in Electrical Engineering in 1986, 1989 and 1989 respectively. While at Stanford, he developed new fast recursive least-squares (RLS) algorithms for adaptive filtering. He obtained an HDR (Habilitation to Direct Research) from the University of Nice in 2012.

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TUT-14: Machine Learning for MIMO Systems with Large Arrays

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:30am - 11:00am (EDT) (Live Q&A Session)

Speakers: Aldebaro Klautau, Nuria González-Prelcic, and Robert Heath

Bios:

Aldebaro KlautauAldebaro Klautau

Aldebaro is a professor at the Federal University of Para (UFPA), Belem, Para, in North Brazil, who is affiliated with the Computer and Telecom Engineering Department (FCT), and the Computer Science (PPGCC) and Electrical Engineering (PPGEE) Graduate Programs. He is a senior member of the IEEE and a researcher of CNPq, Brazil. At UFPA he is currently the ITU-T TIES Focal Point, and directs LASSE. His work focuses on machine learning and signal processing for telecommunications and embedded systems.

Nuria González-PrelcicNuria González-Prelcic

Dr. González Prelcic received her Ph.D. in Electrical Engineering in 2000 from the University of Vigo, Spain. She joined the faculty at NC State as an Associate Professor in 2020. She was previously an Associate Professor in the Signal Theory and Communications Department at the University of Vigo, Spain, and a Senior Research Scientist at the University of Texas at Austin (2018-2020). She was also the founding director of the Atlantic Research Center for Information and Communication Technologies (atlanTTic) at the University of Vigo (2008-2017). She is an Editor for IEEE Transactions on Wireless Communications. She is an elected member of the IEEE Sensor Array and Multichannel Technical Committee.

Her main research interests include signal processing theory and signal processing and machine learning for wireless communications: filter banks, compressive sampling and estimation, multicarrier modulation, massive MIMO, MIMO processing for millimeter-wave communication and sensing, including vehicle-to-everything (V2X), air-to-everything (A2X) and satellite MIMO communication. She is also interested in joint positioning and communication, joint sensing and communication, radar signal processing, radar and communications co-existence, multi-vehicle sensor fusion and autonomous navigation. She has published more than 80 papers in the topic of signal processing for millimeter-wave communications, including a highly cited tutorial published in the IEEE Journal of Selected Topics in Signal Processing.

Robert Heath

Robert W. Heath Jr. received the Ph.D. in EE from Stanford University. He is a Distinguished Professor at North Carolina State University. He is also the President and CEO of MIMO Wireless Inc. Prof. Heath is a recipient of several awards including recently the 2016 IEEE Communications Society Fred W. Ellersick Prize, the 2016 IEEE Communications Society and Information Theory Society Joint Paper Award, the 2017 IEEE Marconi Prize Paper Award, the 2017 EURASIP Technical Achievement Award, the 2019 IEEE Communications Society Stephen O. Rice Prize, the 2019 IEEE Kiyo Tomiyasu Award, and the 2020 IEEE SPS Donald G. Fink Overview Paper Award. He co-authored “Millimeter Wave Wireless Communications” (Prentice Hall in 2014) and "Foundations of MIMO Communications" (Cambridge 2019). He was EIC of IEEE Signal Processing Magazine from 2018-2020. He is a current member-at-large of the IEEE Communications Society Board-of-Governors (2020-2022) and a past member-at-large of the IEEE Signal Processing Society Board-of-Governors (2016-2018). He is a licensed Amateur Radio Operator, a registered Professional Engineer in Texas, a Private Pilot, a Fellow of the National Academy of Inventors, and a Fellow of the IEEE.

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TUT-15: Efficient and Intelligent MIMO Communications: Sensing, Detection, and Learning

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:00am - 10:30am (EDT) (Live Q&A Session)

Speakers: Zhi Tian, Lingjia Liu, and Yue Wang

Bios:

Zhi TianZhi Tian

Dr. Zhi Tian (M’00, SM’06, F’13) is a Professor in the Electrical and Computer Engineering Department of George Mason University, Fairfax, VA, USA. Previously, she was on the faculty of Michigan Technological University from 2000 to 2014. She served as a Program Director at the US National Science Foundation from 2012 to 2014. Her research interest lies in the areas of wireless communications, statistical signal processing, and machine learning. Current research focuses on massive MIMO, millimeter-wave communications, and distributed network optimization and learning. She was an IEEE Distinguished Lecturer for both the IEEE Communications Society and the IEEE Vehicular Technology Society. She served as Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transactions on Signal Processing. She is a Member-of-Large of the IEEE Signal Processing Society (2019-2021). She received the IEEE Communications Society TCCN Publication Award in 2018.

Acknowledgements:
This work was partly supported by the NSF grant #SaTC-1704274.

Lingjia LiuLingjia Liu

Lingjia Liu received the Bachelor of Science (B.S.) degree with the highest honor in Electronic Engineering Department from Shanghai Jiao Tong University, Shanghai, China, and completed his Doctor of Philosophy (Ph.D.) degree at Texas A&M University in Electrical and Computer Engineering. He spent the summer of 2007 and spring of 2008 in the Mitsubishi Electric Research Laboratory. Prior to joining the ECE Department at Virginia Tech (VT), he was an Associate Professor in the EECS Department at the University of Kansas (KU). He spent 3+ years working in the Standards & Mobility Innovation Lab of Samsung Research America (SRA) where he got Global Samsung Best Paper Award twice (in 2008 and 2010 respectively). He was a technical leader and a leading 3GPP RAN1 standard delegate from Samsung on downlink MIMO, Coordinated Multipoint (CoMP) transmission/reception, device-to-device (D2D) communications, and Heterogeneous Networks (HetNets). He was elected as the New Faces of Engineering 2011 by the Diversity Council of the National Engineers Week Foundation and was recognized during the 2011 National Asian American Engineers of the Year Awards Banquet in Seattle (News Release in Dallas Morning News). From 2013 to 2017, he has been continuously selected as U.S. Air Force Office of Scientific Research (AFOSR)/Air Force Research Laboratory (AFRL) summer faculty fellow. In May 2015, he received the Miller Professional Development Award for Distinguished Research at KU.

Lingjia Liu is a member of the Phi Kappa Phi honor society and a senior member of IEEE. He is currently serving as an Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems as well as the EURASIP Journal on Wireless Communications and Networking. He was an Editor of IEEE Transactions on Wireless Communications (TWireless) from 2012 to 2017, an Editor of the IEEE Transactions on Communications (TCom) from 2015 to 2017. He has been serving as the Technical Program Committee Chair of 7 consecutive IEEE GLOBECOM Workshops on Emerging Technologies for 5G ('12-'18). He served as the Vice-Chair, Americas of the IEEE Technical Committee on Green Communications & Computing (TCGCC) from 2017 to 2019. Currently, he is an Elected Member of Executive Committee of National Spectrum Consortium and an Elected Member of the IEEE Signal Processing Society SPCOM Technical Committee.

Lingjia Liu has 200+ publications including 3 book chapters, 80+ journal publications, 5 editorials, and 90+ conference papers. He has numerous technical contributions to major 4G standards including both 3GPP LTE/LTE-Advanced and IEEE 802.16m. He has 20+ granted U.S. patents with 20+ pending applications, and 10+ essential intellectual property rights (IPRs) in major 4G standards. His research receives including 8 Best Paper Awards (2020 Charles K. Kao Best Paper Award, 2018 IEEE TAOS Best Paper Award, 2016 IEEE GLOBECOM Best Paper Award, etc). Currently, his research is sponsored by Air Force Research Laboratory, Air Force Office of Scientific Research, Intel, National Science Foundation, National Spectrum Consortium, Qualcomm, and Samsung Research America. His research efforts have been supported in part by over $80 M in research funding, with Lingjia Liu serving as the principal investigator (PI) on over $8 M federal research grants (personal share $5.5+ M).

Yue WangYue Wang

Dr. Yue Wang (M’11) received his Ph.D. degree in communication and information system from Beijing University of Posts and Telecommunications, China. He is currently an Assistant Research Professor in the Electrical and Computer Engineering Department of George Mason University, Fairfax, VA, USA. Previously, he was a Senior Research Engineer with Huawei Technologies Co., Ltd., China. His general interests lie in the areas of signal processing, wireless communications, artificial intelligence, and their applications in cyber physical systems. His current research focuses on compressed sensing, massive MIMO, millimeter-wave communications, cognitive radios, DoA estimation, high-dimensional data analysis, and distributed optimization and learning.

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TUT-16: Online Learning for Wireless Communications: Theory, Algorithms, and Applications

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:30am - 12:00pm (EDT) (Live Q&A Session)

Speakers: Cong Shen, Cem Tekin, and Mihaela van der Schaar

Bios:

Cong ShenCong Shen

Cong Shen received his B.S. and M.S. degrees, in 2002 and 2004 respectively, from the Department of Electronic Engineering, Tsinghua University, China. He obtained the Ph.D. degree from the Electrical Engineering Department, University of California Los Angeles (UCLA), in 2009. Prior to joining the Electrical and Computer Engineering Department at University of Virginia, Dr. Shen was a professor in the School of Information Science and Technology at University of Science and Technology of China (USTC). He also has extensive industry experience, having worked for Qualcomm Research, SpiderCloud Wireless, Silvus Technologies, and Xsense.ai, in various full time and consulting roles. His general research interests are in the area of communication theory, wireless communications, and machine learning.

He was the recipient of the “Excellent Paper Award” in the 9th International Conference on Ubiquitous and Future Networks (ICUFN 2017). Currently, he serves as an editor for the IEEE Transactions on Wireless Communications, and editor for the IEEE Wireless Communications Letters.

Cem Tekin

Cem is an Associate Professor in the Department of Electrical and Electronics Engineering and Head of Cognitive Systems, Bandits and Optimization Research Group (CYBORG) at Bilkent University.

He received his PhD degree in Electrical Engineering: Systems from the University of Michigan, Ann Arbor, in 2013 (advisor: Mingyan Liu). He also received his MS degree in Applied Mathematics and MSE degree in Electrical Engineering: Systems, from the University of Michigan in 2011 and 2010, respectively. Prior to attending the University of Michigan, He received his BS in Electrical and Electronics Engineering (valedictorian) from METU in 2008. From February 2013 to January 2015 he was a postdoctoral scholar in Electrical Engineering Department, UCLA (advisor: Mihaela van der Schaar). He received the Fred W. Ellersick award for the best paper in MILCOM 2009, the Science Academy Association of Turkey Distinguished Young Scientist (BAGEP) Award in 2019 and Parlar Foundation Research Incentive Award in 2019. He is a Senior Member of IEEE.

Cem has authored or coauthored over 60 research papers, 5 book chapters and a research monograph. He has served as a reviewer for numerous journals including IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, IEEE/ACM Transactions on Networking, IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, IEEE Transactions on Mobile Computing, IEEE Transactions on Wireless Communications, IEEE JSTSP and IEEE JSAC. He has served as a reviewer for AISTATS-21, NeurIPS-20, ICML-20 and TPC member for AAAI-21, AAAI-18, ACM Mobihoc-17, AAAI-17, AAAI-16, ISM-16, ECAI-16, MLSP-15 and GlobalSIP-15.

Cem's research interests include bandit problems, reinforcement learning, data science for personalized medicine, multi-agent systems, stream mining, influence maximization and cognitive communications.

Mihaela van der SchaarMihaela van der Schaar

Professor van der Schaar is John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Turing Fellow at The Alan Turing Institute in London, where she leads the effort on data science and machine learning for personalised medicine. She is an IEEE Fellow (2009). She has received the Oon Prize on Preventative Medicine from the University of Cambridge (2018). She has also been the recipient of an NSF Career Award, 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award. She holds 35 granted USA patents

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TUT-17: AI-enabled Open Virtualized Wireless Networks

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:00am - 11:30am (EDT) (Live Q&A Session)

Speakers: Melike Erol-Kantarci and Meryem Simsek

Bios:

Melike Erol-KantarciMelike Erol-Kantarci

Melike Erol-Kantarci is Canada Research Chair in AI-enabled Next-Generation Wireless Networks and Associate Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute, Toronto, and the Institute for Science, Society and Policy at University of Ottawa. She has over 150 peer-reviewed publications which have been cited over 5800 times and she has an h-index of 39. She has received numerous awards and recognitions. Recently, she received the 2020 Distinguished Service Award of the IEEE ComSoc Technical Committee on Green Communications and Computing. She was named in N2Women Stars in Computer Networking and Communications in 2019. Dr. Erol-Kantarci has delivered 50+ keynotes, tutorials and panels around the globe and has acted as the general chair and technical program chair for many international conferences and workshops. Her main research interests are AI-enabled wireless networks, 5G and 6G wireless communications, smart grid and Internet of things. She is an IEEE ComSoc Distinguished Lecturer, IEEE Senior member and ACM Senior Member.

Meryem SimsekMeryem Simsek

Dr. Meryem Simsek received her Dipl.-Ing. degree in Electrical Engineering and Information Technology from University of Duisburg-Essen in Germany in 2008, holding a scholarship from the German National Academic Foundation which is granted to the outstanding 0.5% of all students in Germany. She obtained her Ph.D. degree on reinforcement learning based inter-cell interference coordination in heterogeneous networks from the same university in 2013. In 2013, she was a post-doctoral visiting scientist at Florida International University. In 2014, she became a group leader at the Vodafone Chair Mobile Communication Systems at the Technical University Dresden, Germany. Dr. Simsek won the IEEE Communications Society Fred W. Ellersick Prize 2015. Since June 2015, she chairs the IEEE ComSoc Tactile Internet technical sub-committee and has initiated the IEEE P1918.1 working group and is serving as the secretary of the working group. In addition, she is leading the ETSI IP6 work item on IPv6 based Tactile Internet. She joined ICSI in October 2016. Her main research interests include fifth generation (5G) wireless systems, resource management in heterogeneous wireless networks, wireless network design and optimization, self-organizing networks, and the Tactile Internet and its applications.

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TUT-18: Tools and Techniques for URLLC Towards Beyond-5G Systems

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:00am - 11:30am (EDT) (Live Q&A Session)

Speakers: Nurul Mahmood and Italo Atzeni

Bios:

Nurul MahmoodNurul Mahmood

Nurul Huda Mahmood was born in Bangladesh. He received the M.Sc. degree in Mobile Communications from Aalborg University, Denmark in 2007 and the Ph.D. degree in wireless communications from Norwegian University of Science and Technology (NTNU), Norway in 2012.

Nurul is currently a Senior Research Fellow with 6G Flagship at Center for Wireless Communication, University of Oulu, where he joined in December 2018. Prior to that, he was an Assoc. Professor with Department of Electronics Systems at Aalborg University, Denmark.

His current research interests include resource optimization techniques with focus on Ultra Reliable Low Latency Communication (URLLC), critical Internet of Things (IoT) networks, and modeling and performance analysis of wireless communication systems.

Italo AtzeniItalo Atzeni

Italo Atzeni (S'12–M'14) received the MSc degree (Hons.) in telecommunications engineering from the University of Cagliari, Italy, in 2010, and the PhD degree (Hons.) in signal theory and communications from the Polytechnic University of Catalonia–BarcelonaTech, Spain, in 2014. Since 2019, he is with the Centre for Wireless Communications, University of Oulu, Finland, where he is a Senior Research Fellow and Adjunct Professor. From 2014 to 2017, he was a Researcher with the Mathematical and Algorithmic Sciences Laboratory, Paris Research Center, Huawei Technologies, France. From 2017 to 2018, he was a Research Associate with the Communication Systems Department, EURECOM, France. He has previously held a research appointment at The Hong Kong University of Science and Technology, Hong Kong, in 2013. His primary research interests are in communication and information theory, statistical signal processing, convex and distributed optimization theory, and their applications to decentralized decision making in heterogeneous wireless communication networks. He received the Best Paper Award in the Wireless Communications Symposium at IEEE ICC 2019. He was granted the MSCA-IF grant for the project “Device-Centric Low-Complexity High-Frequency Networks” (DELIGHT) in 2020.

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TUT-19: Signal Processing for Terahertz Communications

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:00am - 10:30am (EDT) (Live Q&A Session)

Speakers: Hadi Sarieddeen, Mohamed-Slim Alouini, and Tareq Y. Al-Naffouri

Bios:

Hadi SarieddeenHadi Sarieddeen

Hadi Sarieddeen is a Postdoctoral Fellow in the Communication Theory Lab (CTL) and the Information System Lab (ISL), working under the supervision of Prof. Mohamed-Slim Alouini and Prof. Tareq Al-Naffouri, respectively, at King Abdullah University of Science and Technology, Saudi Arabia.

Mohamed-Slim AlouiniMohamed-Slim Alouini

Professor Alouini general research interests include design and performance analysis of diversity combining techniques, MIMO techniques, multi-hop/cooperative communications systems, optical wireless communication systems, cognitive radio systems, green communication systems and networks, wireless communication systems and networks in extreme environments, and integrated ground-airborne-space networks. He is currently actively working on addressing the uneven global distribution, access to, and use of information and communication technologies by studying and developing new generations of aerial and space networks as a solution to provide connectivity to far-flung, less-populated, and/or hard-to-reach areas.

Professor Alouini has published several papers on the above subjects and he is co-author of the textbook Digital Communication over Fading Channels published by Wiley Interscience. He has also won several awards in his career. For instance, he recently received the 2020 IEEE Vehicular Technology Society James Evans Avant-Garde Award and the 2019 Technical Achievement Award of the IEEE Communication Society Communication Theory Technical Committee. Prior to this, he was honored in 2017 with the Organization of Islamic Cooperation (OIC) Science and Technology (S&T) Achievement Award in Engineering Science at the First OIC Summit on Science and Technology, Astana, Kazakhstan. He also received the 2016 Recognition Award of the IEEE Communication Society Wireless Technical Committee as well as the 2016 Abdul Hameed Shoman Award for Arab Researchers in Engineering Sciences. Other recognitions include his selection as (i) Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Optical Society of America (OSA), the African Academy of Science (AAS), the European Academy of Science and Arts (EASA), and the Academia Europaea (AE), (ii) IEEE Distinguished Lecturer for the IEEE Communication Society and for the IEEE Vehicular Technology Society, (iii) member for several times in the annual Thomson ISI/Clarivate Web of Knowledge list of Highly Cited Researchers as well as the Shanghai Ranking/Elsevier list of Most Cited Researchers and the AMiner 2020 list of the AI 2000 Most Influential Scholars in the area of Internet of Things, and (iv) a co-recipient of best paper awards in thirteen IEEE journals/conferences (including Communication Surveys & Tutorials, ICC, GLOBECOM, VTC, PIMRC, ISWCS, UCET, and DySPAN).

Tareq Y. Al-NaffouriTareq Y. Al-Naffouri

Tareq Al-Naffouri received the B.S. degrees in mathematics and electrical engineering (with first honors) from King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, the M.S. degree in electrical engineering from the Georgia Institute of Technology, Atlanta, and the Ph.D. degree in electrical engineering from Stanford University, Stanford, CA, in 2004.

He was a visiting scholar at California Institute of Technology in 2005 and during the summers of 2006 and 2008. He was a Fulbright scholar at the University of Southern California in 2008. In 2012, he joined the Electrical Engineering Department at King Abdullah University of Science and Technology (KAUST) where he is currently a professor.

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TUT-20: Enabling Joint Communication and Radio Sensing in Mobile Networks: A Tutorial

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:00am - 09:30am (EDT) (Live Q&A Session)

Speakers: J. Andrew Zhang, Kai Wu, and Y. Jay Guo

Bios:

J. Andrew Zhang

J. Andrew Zhang is an associate professor at the School of Computing and Communications, University of Technology Sydney, Sydney, Australia. Prof. Zhang is passionate about research innovation, and is a world renowned researcher in wireless communications and sensing. He has a wide research interest in signal processing for wireless communications and sensing, autonomous vehicular networks and smart grid. Currently, Prof. Zhang is leading the UTS Radio Sensing and Pattern Analysis (RASPA) laboratory, devoted to developing ubiquitous radio sensing and analytics technologies, by combining wireless signal processing and machine learning techniques. RASPA focuses on two major research areas: (1) Building ubiquitous radio sensing infrastructure using joint communication and radio/radar sensing techniques, such as the perceptive mobile network that revolutionizes current communication only mobile network to one with integrated communication and sensing; (2) Harvesting information from radio signals by combining wireless signal processing, pattern analysis, and machine learning techniques. The aim is to extract information from the received radio signals for detecting, identifying, and tracking objects and events in surrounding environment. Prof. Zhang has published more than 180 papers in leading international journals and conference proceedings and hold 5 patents. He has won 5 best paper awards for his work, including the best paper award in ICC 2013, the prestigious IEEE Communication Society flagship conference. He is a recipient of CSIRO top award, CSIRO Chairman’s Medal, as a seminal contributor and the Australian Engineering Innovation Award in 2012 for exceptional research achievements in multi-gigabit wireless communications. Prof. Zhang has more than 15 years of working experience in industrial research organizations and has led and participated in numerous projects developing innovative techniques and concept-proof prototypes and commercial devices. Before joining UTS in 2016, Prof. Zhang was a senior research scientist and team leader in Data61, CSIRO. He led the development of the world first 10Gbps E-band system, with a system demonstration successfully completed in Dec 2015. Other highlights of achievements include the successful completion of a 10Gbps baseband system using interleaved DAC techniques, and the development of advanced techniques for millimetre wave hybrid array, full duplex backhaul, massive MIMO, and cloud radio access networks. Prof. Zhang also worked as a researcher in NICTA, Australia from 2004 to 2010, and as a System and Hardware Engineer in ZTE Corp., China from 1999 to 2001. Prof. Zhang received the B. S. degree from Xi’an JiaoTong University, China, in 1996, the M. Sc. degree from Nanjing University of Posts and Telecommunications, China, in 1999, and the Ph.D. degree from the Australian National University, in 2004.

Kai Wu

Bio is forthcoming

Y. Jay GuoY. Jay Guo

Prof. Yingjie Jay Guo is the Director of Global Big Data Technologies Centre and Distinguished Professor at University of Technology, Sydney. Jay is an internationally established scientist with 550+ publications including 240+ IEEE journal papers and 26 granted international patents. He is regarded as a world-leading researcher in communications antenna systems including reconfigurable antennas, reflectarrays/transmitarrays, hybrid arrays and leaky wave antennas. He is an innovator with strong and sustained global industrial impact. His most recent research interest includes 5G and 6G antennas, in-band full duplex wireless communications systems, and joint communications and sensing. Jay is a Fellow of the Australian Academy of Engineering (ATSE) and a Fellow of IEEE. He is the recipient of Australia Government Engineering Innovation Award (2012), Australia Engineering Excellence Award (2007) and CSIRO Chairman Medal (2007 and 2012). He was named one of the most influential engineers in Australia in 2014 and 2015, respectively. He served in the College of Experts of the Australian Research Council in 2016-2018. He was named one of the top 250 researchers across all fields in Australia in 2020. Jay has thirty years of international academic, industrial and CSIRO experience. He served as a Research Director at CSRO for nine years, and successfully directed Research and Development programs across a number of fields in ICT including wireless and networking, broadband applications, robotics, sensor networks and big data technologies. Prior to joining CSIRO in August 2005, Jay held a number of senior positions in the European mobile communications industry including Siemens, NEC and Fujitsu Europe for eight years, leading the development of 3G and 4G wireless communications systems.

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TUT-21: Symbiotic Radio: Cognitive Backscatter Communications for Future Wireless Networks

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:00am - 09:30am (EDT) (Live Q&A Session)

Speakers: Ying-Chang Liang and Dusit Niyato

Bios:

Ying-Chang LiangYing-Chang Liang

Bio is forthcoming

Dusit Niyato

Dusit Niyato (M'09-SM'15-F'17) is currently a professor in the School of Computer Science and Engineering, at Nanyang Technological University, Singapore. He received B.Eng. from King Mongkuts Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. His research interests are in the areas of Internet of Things (IoT), machine learning, and incentive mechanism design.

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TUT-22: Entanglement-assisted (Quantum) Communication Networks

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:00am - 11:30am (EDT) (Live Q&A Session)

Speakers: Frank Fitzek, Holger Boche, Riccardo Bassoli, Roberto Ferrara, and Janis Nötzel

Bios:

Frank FitzekFrank Fitzek

Frank H. P. Fitzek is a Professor and head of the “Deutsche Telekom Chair of Communication Networks” at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence CeTI.

He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology – Rheinisch-Westfälische Technische Hochschule (RWTH) – Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Associate Professor and later became Professor.

He co-founded several start-up companies starting with acticom GmbH in Berlin in 1999. He has visited various research institutes including Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation prize. In 2015 he was awarded the honorary degree “Doctor Honoris Causa” from Budapest University of Technology and Economics (BUTE).

His current research interests are in the areas of wireless and 5G communication networks, network coding, cloud computing, compressed sensing, cross layer as well as energy efficient protocol design and cooperative networking.

Holger BocheHolger Boche

Holger Boche received the Dipl.-Ing. degree in electrical engineering, Graduate degree in mathematics, and the Dr.-Ing. Degree in electrical engineering from the Technische Universität Dresden, Dresden, Germany, in 1990, 1992, and 1994, respectively, and the Dr. rer. nat. degree in pure mathematics from the Technische Universität Berlin, Berlin, Germany, in 1998. From 1994 to 1997 he did postgraduate studies at the Friedrich-Schiller Universität Jena. In 1997, he joined the Heinrich-Hertz-Institut (HHI) für Nachrichtentechnik Berlin, Berlin. From 2002 to 2010, he was a Full Professor in mobile communication networks with the Institute for Communications Systems, Technische Universität Berlin. In 2003, he became the Director of the Fraunhofer German-Sino Laboratory for Mobile Communications, Berlin, and in 2004, he became the Director of the Fraunhofer Institute for Telecommunications (HHI), Berlin, Germany. Since October 2010, he has been with the Institute of Theoretical Information Technology and a Full Professor with the Technische Universität München.

Riccardo BassoliRiccardo Bassoli

Riccardo Bassoli is a Senior Researcher at the Deutsche Telekom Chair of Communication Networks at the Faculty of Electrical and Computer Engineering, at Technische Universität Dresden. He is IEEE and ComSoc member. He is also member of Glue Technologies for Space Systems Technical Panel of IEEE AESS.

His research interests include: Quantum Communication Networks and Computing, High-Altitude Platforms (HAP) and Cloud Radio Access Network (C-RAN) in Space, 5G and Beyond networks, network virtualization and slicing, and intelligent networks.

Roberto FerraraRoberto Ferrara

He obtained his Msc in physics at the Niels Bohr Institute of the University of Copenhagen and my PhD in science at the Department of Mathematical Sciences of the University of Copenhagen. In his PhD dissertation "An Information-theoretic Framework for Quantum Repeaters", He studied the limitations of distilling bipartite classical key from quantum states when the two parties can only share entanglement with the aid of a third party, the quantum repeater, covering topics of entanglement measures, quantum operations and quantum information theory.

Janis NötzelJanis Nötzel

Dr. Janis Nötzel (*1981) studied at the Technical University of Berlin and pursued his PhD work at the Technical University of Munich. As a postdoc, he joined the group of Andreas Winter at the Universitat Autònoma de Barcelona, before taking on a position as the leader of a research transfer at Technische Universität Dresden. At TU Munich, he now combines his insights from mathematical modelling and product development to ensure a practical impact of quantum technology in the communication networks of the next generations.

Dr. Janis Nötzel (*1981) conducts research in the area of quantum communication system design. In order to allow for an adequate comparison, he also models classical communication systems.

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TUT-23: Game Theoretic Learning and Applications to Spectrum Collaboration

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:30am - 10:00am (EDT) (Live Q&A Session)

Speakers: Amir Leshem and Kobi Cohen

Bios:

Amir Leshem

Amir Leshem is a professor at the EE department, Faculty of Engineering, Bar-Ilan University. He is also a landscape photographer.

Kobi Cohen

Bio is forthcoming

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TUT-24: Reconfigurable Intelligent Surfaces and Holographic Massive MIMO: Vision, Fundamentals, and Key Open Problems

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 10:00am - 10:30am (EDT) (Live Q&A Session)

Speaker: Emil Björnson

Bio:

Emil BjörnsonEmil Björnson

Emil Björnson received the M.S. degree in Engineering Mathematics from Lund University, Sweden, in 2007. He received the Ph.D. degree in Telecommunications from KTH Royal Institute of Technology, Sweden, in 2011. From 2012 to mid-2014, he was a joint postdoc at the Alcatel-Lucent Chair on Flexible Radio, SUPELEC, France, and at KTH. He joined Linköping University, Sweden, in 2014 and is currently Associate Professor and Docent at the Division of Communication Systems. He teaches Master level courses on communications and is responsible for the Master programme in Communication Systems.

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TUT-25: 5G-and-Beyond V2X Communication Technologies and Enablers for Connected and Automated Vehicles

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:30am - 12:00pm (EDT) (Live Q&A Session)

Speakers: Antoine Berthet, Alessandro Bazzi, and Antonella Molinaro

Bios:

Antoine Berthet

Bio is forthcoming

Alessandro Bazzi

Alessandro Bazzi earned his BA (cum laude) and PhD in Telecommunications Engineering from the University of Bologna in 2002 and 2006, respectively. From 2002 to 2019 he carried out research activities for the IEIIT institute of the CNR and since 2019 he has been a senior researcher at the DEI department of the University of Bologna.

He carries out research activities within national and international projects and his interests include the study of performance through measurements, analytical studies and simulations of wireless systems and heterogeneous networks, with particular reference to access to the medium, management of radio resources and routing. In recent years he has focused particularly on wireless communications for automatic and connected vehicles.

He is the author of numerous publications in the field of wireless systems and networks and collaborates in various capacities with the organization of various international journals and conferences.

Antonella MolinaroAntonella Molinaro

Bio is forthcoming

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TUT-26: Tactile Internet with Human-in-the-Loop

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:30am - 12:00pm (EDT) (Live Q&A Session)

Speakers: Frank Fitzek and Gerhard Fettweis

Bios:

Frank FitzekFrank Fitzek

Frank H. P. Fitzek is a Professor and head of the “Deutsche Telekom Chair of Communication Networks” at TU Dresden coordinating the 5G Lab Germany. He is the spokesman of the DFG Cluster of Excellence CeTI.

He received his diploma (Dipl.-Ing.) degree in electrical engineering from the University of Technology – Rheinisch-Westfälische Technische Hochschule (RWTH) – Aachen, Germany, in 1997 and his Ph.D. (Dr.-Ing.) in Electrical Engineering from the Technical University Berlin, Germany in 2002 and became Adjunct Professor at the University of Ferrara, Italy in the same year. In 2003 he joined Aalborg University as Associate Professor and later became Professor.

He co-founded several start-up companies starting with acticom GmbH in Berlin in 1999. He has visited various research institutes including Massachusetts Institute of Technology (MIT), VTT, and Arizona State University. In 2005 he won the YRP award for the work on MIMO MDC and received the Young Elite Researcher Award of Denmark. He was selected to receive the NOKIA Champion Award several times in a row from 2007 to 2011. In 2008 he was awarded the Nokia Achievement Award for his work on cooperative networks. In 2011 he received the SAPERE AUDE research grant from the Danish government and in 2012 he received the Vodafone Innovation prize. In 2015 he was awarded the honorary degree “Doctor Honoris Causa” from Budapest University of Technology and Economics (BUTE).

His current research interests are in the areas of wireless and 5G communication networks, network coding, cloud computing, compressed sensing, cross layer as well as energy efficient protocol design and cooperative networking.

Gerhard Fettweis

Gerhard Fettweis is a pioneering researcher in wireless technology. He has been the Vodafone chair professor at the Technical University of Dresden (TU Dresden), in Germany, since 1994 and the head of the Barkhausen Institute since 2018. Fettweis has published more than 1,000 academic papers, and his research primarily focuses on wireless transmission and chip design for wireless Internet of Things (IoT) platforms.

Fettweis coordinates the 5G Lab Germany and two German Research Foundation (DFG) centers at TU Dresden: the Center for Advancing Electronics Dresden (CFAED) and the Highly Adaptive Energy-Efficient Computing (HAEC) research center. He is also a member of the German National Academy of Sciences Leopoldina and the German Academy of Science and Engineering (ACATECH).

He has received multiple IEEE recognitions, as well as the “Ring of Honor,” the highest award from the Institution of German Electrical Engineers (VDE). He cochairs the IEEE 5G Initiative and has helped organized numerous IEEE conferences, most notably as chair of the 2009 International Conference on Communications (ICC) and chair of the 2012 Technology Time Machine (TTM) conference.

Notably, Fettweis will be a keynote speaker at the upcoming 2020 IEEE 3rd 5G World Forum (5GWF ’20), which will run virtually from September 10 to 12, 2020. 5GWF ’20 aims to bring together experts from industry, academia, and research to exchange their vision for, as well as their achieved advances toward, 5G.

 

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TUT-27: Semantics in Communications: The Example of Information Freshness

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:30am - 12:00pm (EDT) (Live Q&A Session)

Speakers: Ali Maatouk, Mohamad Assaad, Anthony Ephremides

Bios:

Ali Maatouk

Bio is forthcoming

Mohamad Assaad

Bio is forthcoming

Anthony EphremidesAnthony Ephremides

Anthony Ephremides holds the Cynthia Kim Eminent Professorship Chair of Information Technology. He holds a joint appointment with the Institute for Systems Research, of which he has been a founding member, and he is a also a member of and former Co-Director of the Maryland Hybrid Networks Center (HyNET), formerly known as the Center for Hybrid and Satellite Communication Networks (CHSCN).

He received his B.S. degree from the National Technical University of Athens (1967) and M.S. (1969) and Ph.D. (1971) degrees from Princeton University, all in Electrical Engineering. He has been at the University of Maryland since 1971 and currently holds a joint appointment as Professor in the Electrical Engineering Department and in the Institute of Systems Research (ISR) of which he is a founding member. He is co-founder of the NASA Center for Commercial Development of Space on Hybrid and Satellite Communications Networks established in 1991 at Maryland as an off-shoot of the ISR. He served as Co-Director of that Center from 1991 to 1994. Full bio can be found at: https://isr.umd.edu/clark/faculty/389/Anthony-Ephremides

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TUT-28: Recent Techniques for Massive Grant-free Access for Future IoT

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:30am - 10:00am (EDT) (Live Q&A Session)

Speakers: Ying Cui, Liang Liu, and Yan Chen

Bios:

Ying Cui

Bio is forthcoming

Liang LiuLiang Liu

Dr. Liang Liu received the B.Eng. degree from the School of Electronic and Information Engineering at Tianjin University in 2010, and the Ph.D. degree from the Department of Electrical and Computer Engineering at National University of Singapore (NUS) in 2014. He was a postdoctoral fellow at University of Toronto from 2015 to 2017, and a research fellow at NUS from 2017 to 2019. Currently, he is an assistant professor in the Department of Electronic and Information Engineering at The Hong Kong Polytechnic University (PolyU). His research interests include wireless communications and networking, advanced signal processing and optimization techniques, and Internet-of-Things (IoT).

Dr. Liang Liu is the recipient of the 2017 IEEE Signal Processing Society Young Author Best Paper Award, and the best paper award for 2011 International Conference on Wireless Communications and Signal Processing (WCSP). He was listed in Highly Cited Researchers, also known as World's Most Influential Scientific Minds, by Clarivate Analytics (Thomson Reuters) in 2018.

Dr. Liang Liu's CV and research profiles can be found at: My CV, ResearcherID, ORCID, Google Scholar Citations, ResearchGate Profile

Yan ChenYan Chen

Yan Chen is the Daniel Kahneman Collegiate Professor in the School of Information at the University of Michigan. She also holds an appointment as a research professor with the U-M Institute for Social Research. Her research interests are in behavioral and experimental economics, market and mechanism design, and public economics. She conducts both theoretical and experimental research.

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TUT-29: Non-Terrestrial Networks (NTN): The Next 20 Years

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 11:30am - 12:00pm (EDT) (Live Q&A Session)

Speaker: Halim Yanikomeroglu

Bio:

Halim YanikomerogluHalim Yanikomeroglu

Halim Yanikomeroglu (FIEEE, FEIC, FCAE) was born in Giresun, Turkey. He received the B.Sc. degree in electrical and electronics engineering from the Middle East Technical University, Ankara, Turkey, in 1990, and the M.A.Sc. degree in electrical engineering (now ECE) and the Ph.D. degree in electrical and computer engineering from the University of Toronto, Canada, in 1992 and 1998, respectively.

During 1993–1994, he was with the R&D Group of Marconi Kominikasyon A.S., Ankara, Turkey. Since 1998 he has been with the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada, where he is now a Full Professor. His research interests cover many aspects of wireless communications systems and networks. Dr. Yanikomeroglu has supervised 26 PhD and 28 MASc students (all completed with theses); several of his PhD students received the Carleton University Senate Medal for Outstanding Doctoral Thesis. He has coauthored 450+ peer-reviewed research papers including 180+ published in the IEEE journals; these publications have received 16,000+ citations (Google Scholar). He has given a high number of keynotes, tutorials, and invited seminars on wireless technologies in the leading international conferences (133 keynotes/seminars/tutorials since 2012). Dr. Yanikomeroglu’s collaborative research with industry (including the leading players in the ICT domain) resulted in 37 granted patents.

Dr. Yanikomeroglu is a Fellow of the IEEE with the citation “for contributions to wireless access architectures in cellular networks”, a Fellow of the Engineering Institute of Canada (EIC), and a Fellow of the Canadian Academy of Engineering (CAE). He is a Distinguished Speaker for the IEEE Communications Society and the IEEE Vehicular Technology Society on 5G/6G wireless technologies. He has been involved in the organization of the IEEE Wireless Communications and Networking Conference (WCNC) from its inception in 1998 in various capacities including serving as a Executive Committee member and the Technical Program Chair or Co-Chair of WCNC 2004 (Atlanta), WCNC 2008 (Las Vegas), and WCNC 2014 (Istanbul); currently, he is serving as the Chair of the WCNC Steering Board (2019-2021). He was the General Co-Chair of the IEEE 72nd Vehicular Technology Conference (VTC 2010-Fall) held in Ottawa, and the General Chair of the IEEE 86th Vehicular Technology Conference (VTC 2017-Fall) held in Toronto. He has served in the editorial boards of the IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, and IEEE Communications Surveys & Tutorials. He was the Chair of the IEEE’s Technical Committee on Personal Communications (now called Wireless Communications Technical Committee with 1,500+ members).

Dr. Yanikomeroglu is a recipient of the IEEE Vehicular Technology Society Stuart Meyer Memorial Award in 2020 and IEEE Communications Society Wireless Communications Technical Committee Recognition Award in 2018. He is also a recipient of the IEEE Ottawa Section Outstanding Service Award in 2018, the IEEE Ottawa Section Outstanding Educator Award in 2014, Carleton University Faculty Graduate Mentoring Award in 2010, the Carleton University Graduate Students Association Excellence Award in Graduate Teaching in 2010, and the Carleton University Research Achievement Award in 2009 and 2018. Dr. Yanikomeroglu spent the 2011–2012 academic year at TOBB University of Economics and Technology, Ankara, Turkey, as a Visiting Professor. He is a registered Professional Engineer in the province of Ontario, Canada.

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TUT-30: Wireless Communications for Federated Learning

Monday, 14 June 2021, 12:00pm - 05:00pm (EDT) (On-Demand Tutorial)
Friday, 18 June 2021, 09:00am - 09:30am (EDT) (Live Q&A Session)

Speakers: Cheng-Xiang Wang and Jie Huang

Bios:

Cheng-Xiang Wang

Cheng-Xiang Wang (S’01-M’05-SM’08-F’17) received the BSc and MEng degrees in Communication and Information Systems from Shandong University, China, in 1997 and 2000, respectively, and the PhD degree in Wireless Communications from Aalborg University, Denmark, in 2004.

He was a Research Assistant with the Hamburg University of Technology, Hamburg, Germany, from 2000 to 2001, a Research Fellow with the University of Agder, Grimstad, Norway, from 2001 to 2005, and a Visiting Researcher with Siemens AG-Mobile Phones, Munich, Germany, in 2004. He has been with Heriot-Watt University, Edinburgh, U.K., since 2005, where he became a Professor in wireless communications in 2011. In 2018, he joined Southeast University, Nanjing, China, as a Professor. He has co-authored two books, one book chapter, and over 340 papers in refereed journals and conference proceedings. His current research interests include wireless channel measurements/modeling and (B)5G wireless communication networks.

Dr. Wang is a Fellow of the IEEE, IET and HEA, an IEEE Communications Society Distinguished Lecturer for 2019 and 2020, and a Highly Cited Researcher recognized by Clarivate Analytics in 2017 and 2018. He was a recipient of nine Best Paper Awards from the IEEE GLOBECOM 2010, IEEE ICCT 2011, ITST 2012, IEEE VTC 2013-Spring, IWCMC 2015, IWCMC 2016, IEEE/CIC ICCC 2016, and WPMC 2016. He has served as a technical program committee (TPC) member, the TPC chair, and the general chair for over 80 international conferences. He has served as an Editor for nine international journals including the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS from 2007 to 2009, the IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY from 2011 to 2017, and the IEEE TRANSACTIONS ON COMMUNICATIONS from 2015 to 2017. He was a Guest Editor for the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, Special Issue on Vehicular Communications and Networks (Lead Guest Editor), Special Issue on Spectrum and Energy Efficient Design of Wireless Communication Networks, and Special Issue on Airborne Communication Networks. He was also a Guest Editor for the IEEE TRANSACTIONS ON BIG DATA, Special Issue on Wireless Big Data.

Jie HuangJie Huang

Bio can be found at: https://ece.mst.edu/faculty-directory/jie-huang/

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