W8: Next Generation Multiple Access (NGMA) for Future Wireless Communications
Co-chair: Yuanwei Liu, Queen Mary University of London, UK
Co-chair: Yan Chen, Huawei, Canada
Co-chair: Wenqiang Yi, Queen Mary University of London, UK
Co-chair: Tianwei Hou, Beijing Jiaotong University, China
Co-chair: Naofal Al-Dhahir, University of Texas at Dallas, USA
Abstract: Multiple access has long been the “pearls in the crown” for each generation of mobile communication networks. In the past generations, grant-based orthogonal multiple access (OMA) schemes such as Time Division Multiple Access, Frequency Division Multiple Access, Code Division Multiple Access, and Orthogonal Frequency Division Multiple Access, have been the major schemes, where each user is allocated with one orthogonal time/frequency/code resource. Now, we colleague already stand at 5G “Square” and heading towards 6G. The evolution from 5G towards 6G is expected to transfer the communication philosophy from connected people and things to connected intelligence, which brings new usage scenarios and new challenges for conventional OMA-based systems. In addition to the explosive data demand in 6G, emerging bandwidth thirsty applications (e.g., virtual reality, augmented reality), massive connectivity (e.g., Internet-of-Things networks connecting billions of machine-type devices), ubiquitous wireless coverage (e.g., space-air-ground-integrated-networks), multi-functional wireless networks (e.g., the integrations of communication, sensing, and computation), and bit-beyond transmissions (e.g., semantics/tasks/goals-oriented communications) create new challenges for multiple access. Given the limited radio resources and the stringent rate/latency/connectivity requirements, it necessitates the paradigm shift in multiple access design from grant-based OMA to non-orthogonal/massive/random/grant-free multiple access and other possible multiple access for 6G, namely Next Generation Multiple Access (NGMA). Moreover, the development of NGMA has also to be jointly considered with new enabling technologies, new spectrums, advanced artificial intelligence tools/native intelligence, etc. This workshop aims to attract novel and solid contributions on the emerging topic of NGMA for future wireless communications.
Workshop Program:
| Tasks | Beijing | London | Content |
| 1 | 14:00-14:20 | Technical paper presentation (Cooperative MARL for Resource Allocation in High Mobility NGMA-enabled HetNets) | |
| 2 | 14:20-14:40 | Technical paper presentation (Federated Reinforcement Learning for RIS-Aided Non-Orthogonal Multiple Access MEC) | |
| 3 | 14:40-15:00 | Technical paper presentation (Joint Task Offloading and Resource Allocation in STAR-RIS assisted NOMA System) | |
| 4 | 15:00-15:10 | Coffee break | |
| 5 | 15:10-15:30 | Technical paper presentation (Non-Orthogonal Neighbor Election Random Access for Distributed 6G Wireless Networks) | |
| 6 | 15:30-15:50 | Technical paper presentation (Secrecy Performance of RIS Aided NOMA Networks) | |
| 7 | 15:50-16:00 | Coffee break | |
| 8 | 16:00-16:40 | 9:00-9:40 | Keynote speech 1 (Dr. Guangyi Liu, China Mobile, China) |
| 9 | 16:40-16:45 | 9:40-9:45 | Q&A |
| 10 | 16:45-17:25 | 9:40-9:45 | Keynote speech 2 (Prof. Rahim Tafazolli, University of Surrey, UK) |
| 11 | 16:45-17:25 | 9:45-10:25 | Q&A |
| 12 | 17:25-17:30 | 10:25-10:30 | Coffee break |
| 13 | 10:30-10:40 | Panel discussion (Prof. Lajos Hanzo (London), Prof. Rahim Tafazolli (London), Dr. Peiying Zhu (London), Prof. Zhiguo Ding (London), Dr. Guangyi Liu (Beijing)) | |
| 14 | 10:40-11:20 | Coffee break | |
| 15 | 11:30-11:50 | Technical paper presentation (A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA) | |
| 16 | 11:50-12:10 | Technical paper presentation (Bridging the Digital Divide Using SuperCell Massive MIMO) | |
| 17 | 12:10-12:30 | Technical paper presentation (User-Pair Selection for QoS-Aware Secrecy Rate Maximization in Untrusted NOMA) |
Co-chair’s Bios:
Yuanwei Liu
Bio: Yuanwei Liu received the B.S. and M.S. degrees from the Beijing University of Posts and Telecommunications in 2011 and 2014, respectively, and the PhD degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He has been a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, where he was a Lecturer (Assistant Professor) from 2017 to 2021. Prior to that, he was with the Department of Informatics, King’s College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. His research interests are NOMA, RIS, Integrated sensing and communications, and machine learning. He received several research awards, including Web of Science Highly Cited Researcher 2021, the 2020 IEEE ComSoc Outstanding Young Researcher Award for EMEA, the 2020 Early Achievement Award of the IEEE ComSoc Signal Processing and Computing for Communications (SPCC) Technical Committee, the 2020 Early Achievement Award of IEEE Communication Theory Technical Committee, the 2021 IEEE ComSoc Best Young Professional Award Outstanding Nominee. Yuanwei Liu received several research recognition, including listing among the World’s Top 2% Scientists by Stanford University in 2020 and 2021, 2022 AI 2000 Most Influential Scholar Honorable Mention in Internet of Things, being ranked among Top 1% scientists in the world and Top 100 in United Kingdom in the broad field of Electronics and Electrical Engineering.
Yuanwei Liu is currently a Senior Editor of IEEE Communications Letters, an Editor of the IEEE Transactions on Wireless Communications and the IEEE Transactions on Communications. He serves as the leading Guest Editor for IEEE JSAC special issue on Next Generation Multiple Access, a Guest Editor for IEEE JSTSP special issue on Signal Processing Advances for Non-Orthogonal Multiple Access in Next Generation Wireless Networks. He served as the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative. He has served as the Publicity Co-Chair for VTC 2019-Fall. He serves as the chair of Special Interest Group (SIG) in SPCC Technical Committee on signal processing Techniques for next generation multiple access, the vice-chair of SIG WTC on Reconfigurable Intelligent Surfaces for Smart Radio Environments.
Yan Chen
Bio: Yan Chen received her B.Sc. and Ph.D. degrees from Chu Kochen Honored College and Institute of Information and Communication Engineering from Zhejiang University in 2004 and 2009, respectively. She was a visiting researcher at Hong Kong University of Science and Technology from 2008 to 2009. She joined Huawei Technologies Shanghai in 2009 and from 2010 to 2013, she was the project manager and technical leader of Huawei internal Green Radio project studying energy efficient solutions for wireless networks and also served as technical leader of the Green Transmission Technology (GTT) project at GreenTouchTM Consortium. Since 2013, she is one of the key technical leaders on 5G air interface design and the related 3GPP standardization in Huawei, focusing on multiple access including NOMA transceivers, grant-free massive access, and ultra-reliable and low-latency communications. Now she is leading the 6G vision study in Huawei. Her research interests include 6G use cases and key capabilities, new enabling technologies and architectures such as integrated sensing and communication (ISAC), network AI, next generation of massive access, as well as system level evaluation methodologies for new usage scenarios. She won the IEEE Communication Society Award for Advances in Communication in 2017.
Wenqiang Yi
Bio: Wenqiang Yi received the Ph.D. degree in electrical engineering from Queen Mary University of London, U.K., in 2020. He is currently a Post-Doctoral Researcher at Queen Mary University of London, since 2020. His research interests include next generation multiple access (NGMA), millimetre-wave communications, stochastic geometry, and machine learning. He received Chinese Government Award for Self-Financed Outstanding Students Abroad, 2020 (500 PhD students worldwide). He received the Exemplary Reviewer of the IEEE COMMUNICATION LETTERS and the IEEE TRANSACTIONS ON COMMUNICATIONS in 2019 and 2020. He has served as a TPC Member for many IEEE conferences, such as GLOBECOM, VTC, etc. He serves as the Secretary of the SIG on Signal Processing Techniques for NGMA by the SPCC Technical Committee and the Secretary of NGMA Emerging Technology Initiative.
Tianwei Hou
Bio: Tianwei Hou received Ph.D. degree from Beijing Jiaotong University (BJTU) in 2021. He was a visiting scholar at Queen Mary University of London (QMUL) (Sep. 2018- Nov. 2020). Since 2021, he has been an associate professor at BJTU. Dr. Hou’s current research interests include next generation multiple access (NGMA), reconfigurable intelligent surface (RIS) aided communications, UAV communications, multiuser multiple-input multiple-output (MIMO) communications, and stochastic geometry. He received the Exemplary Reviewer of the IEEE COMMUNICATION LETTERS and the IEEE TRANSACTIONS ON COMMUNICATIONS in 2018 and 2019. He has served as a TPC Member for many IEEE conferences, such as GLOBECOM, VTC, etc.
Naofal Al-Dhahir
Bio: Naofal Al-Dhahir, is Erik Jonsson Distinguished Professor & ECE Dept. Associate Head at UT-Dallas. He earned his PhD degree from Stanford University and was a principal member of technical staff at GE Research Center and AT&T Shannon Laboratory from 1994 to 2003. He is co-inventor of 43 issued patents, co-author of about 490 papers and co-recipient of 5 IEEE best paper awards. He is an IEEE Fellow, received 2019 IEEE SPCC technical recognition award and 2021 Qualcomm faculty award. He served as Editor-in-Chief of IEEE Transactions on Communications from Jan. 2016 to Dec. 2019. He is a Fellow of the National Academy of Inventors.
Deadlines:
Workshop paper submissions due: 14 August 2022
Acceptance notification: 20 August 2022
Final paper submission due: 24 August 2022
To submit a paper to this workshop, please visit: https://vtc2022f-rr-wks.trackchair.com/track/2134