IEEE International Workshop on
Extreme URLLC towards 6G Connectivity
As it is known, the number of connected devices and data traffic is exponentially increasing as time goes, and future data-intensive applications, (such as holographic communications, autonomous driving, high-precision manufacturing, and ultra-massive machine-type communications, etc.,) would demand high-throughput, extremely ultra-reliable and low-latency communications (Extreme URLLC) with high energy efficiency. Recently, more and more research efforts have been dedicated to Extreme URLLC toward 6G connectivity to provide massive ubiquitous connections for anyone and anything with high-data rate irrespective of time and location. To approach this challenging goal, various technologies are being investigated and experimented. Hence it is important to have a timely workshop that will provide an opportunity to allow industry stakeholder, technical experts, and scientific researchers to share and discuss the different viewpoints through peer-reviewed papers in addition to invited papers. The objective of this workshop is to share the research findings of Extreme URLLC in all aspects and advance the state-of-the-art of future 6G networks. There are many open issues which should be discussed here, e.g.,
- What are the extreme URLLC impacts to the 6G connectivity?
- What are the enabling techniques required by extreme URLLC?
- How to achieve the goal of extreme URLLC with energy efficiency?
We seek original completed and unpublished work not currently under review by any other journal/magazine/conference. Topics of interest include, but are not limited to:
- Key use cases and requirements for Extreme URLLC for 6G connectivity
- “Wireless equivalence” for the Time Sensitive Networking (TSN) with Extreme URLLC
- Time synchronization for Extreme URLLC
- Native positioning techniques for Extreme URLLC
- Security for Extreme URLLC
- AI for extreme URLLC
- Cross-layer optimization techniques for Extreme URLLC for 6G
- Information theoretic limits for Extreme URLLC
- Task-off loading for Extreme URLLC for 6G connectivity
- Advanced modulation and coding schemes for Extreme URLLC
- Advanced physical-layer technologies for Extreme URLLC
- Prototypes and test beds for Extreme URLLC
- Future perspectives of Extreme URLLC
- Standardization roadmap and status on Extreme URLLC
- Prof. Mehdi Bennis, University of Oulu, Finland, email@example.com
Title: Extreme URLLC: Vision, Challenges, and Key Enablers (TBC)
Abstract: This talk will lay down the vision of extreme URLLC (xURLLC) rooted in predictive/statistical URLLC, multi-modal RF and non-RF predictions and codesign of communication and control. A number of grand challenges underpinning the xURLLC vision and some key enablers will be presented in addition to selected use cases.
Biography: 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.
- Dr. Zhibo Pang, ABB, Corporate Research, Sweden, firstname.lastname@example.org
Title: WirelessHP: towards the Ethernet-grade wireless for critical control in industrial automation
Abstract: Demanded by the industrial applications, 5G has promised to support integration with the wired industrial ethernet especially the Time Sensitive Networking (TSN). However, there are still major gaps to truly provide a wireless equivalent to the wired industrial ethernet, which should be of the mission of the Extreme URLLC in 6G. In this presentation, I will introduce the progresses on the WirelessHP towards the Ethernet-grade wireless for critical control which has achieved <7us packet transmission time, <10e-9 BER without retransmission, and <100us application cycle time with customized PHY and MAC layer. Design principles, open challenges and future directions will be discussed.
Biography: Dr. Zhibo Pang, MBA & PhD, is currently a Senior Principal Scientist at ABB Corporate Research Sweden, Adjunct Professor at University of Sydney, and Affiliated Faculty at the Royal Institute of Technology (KTH). He is a Senior Member of IEEE and Co-Chair of the Technical Committee on Industrial Informatics. He is Associate Editor of IEEE TII, IEEE JBHI, and IEEE JESTIE, and was Guest Editor of Proceedings of the IEEE, IEEE IoT-J, and IEEE RBME, etc. He has 60+ patents and 70+ refereed journal papers. He was awarded the “2016 Inventor of the Year Award” and “2018 Inventor of the Year Award” by ABB Corporate Research Sweden.
- Dr Na Yi, University of Surrey, UK, email@example.com
- Prof Jiangzhou Wang, University of Kent, UK, firstname.lastname@example.org
- Dr Zhibo Pang, ABB, Corporate Research, Sweden, email@example.com
- Dr George Agapiou, OTE Group, Greece, firstname.lastname@example.org
Paper submission deadline: January 20, 2021
Acceptance notification: Feburary 20, 2021
Camera-ready: March 1, 2021
Workshop: June 13, 2021
Submission link: https://edas.info/newPaper.php?c=27578
Workshop Website: http://info.ee.surrey.ac.uk/CCSR/IWSDN/