Keynote Speakers Schedule
Tuesday, 9-9:45, Reinaldo Valenzuela, Nokia Bell Labs – London
Tuesday, 9:45-10:30, Peiying Zhu, Huawei – London
Wednesday, 9-9:45, Victor Lawrence, Stevens Institute of Technology – London
Wednesday, 9:45-10:30, Klaus David, University of Kassel – London
Thursday, 9-9:45, Vincent Poor, Princeton University – Virtual
Thursday, 9:45-10:30, Yuhong Huang, China Mobile – Beijing
INDUSTRY TRACK – All in Beijing time.
Beijing, Wednesday, 14:00-15:30, Reconfigurable Intelligent Surfaces (RIS) for 5G-Advanced and 6G (Beijing in-person)
Why 5G-Advanced is different from 5G?
Abstract: Since the start of 5G NR work in 3GPP in early 2016, tremendous progress has been made in both standardization and commercial deployments. 3GPP is now entering the second phase of 5G NR standardization. This is also known as 5G-Advanced, which was unanimously approved by 3GPP members in April 2021. Although the first Release 18 of 5G-Avandced is mainly the evolution of 5G techniques, it is extending the immediate commercial needs (e.g., massive MIMO evolution, XR) to longer-term projects (e.g., study on artificial intelligence and full duplex). It is expected the future Releases (Rel-19 and Rel-20) will study more techniques (e.g., Sensing) to meet the requirements in 2027, and pave a better way for future standard evolution towards 6G.
In this panel, we invited speakers from both industry and academy to discuss the key techniques for 5G-Advanced, including AI, XR, Sensing, Massive MIMO etc., standardization timeline and the new features which can significantly distinguish 5G-Advanced from 5G.
Moderator and Panelists:
Moderator: Dr. Yi Wang [SM’11] received his M.Sc. and Ph.D. degrees in the information engineering at Beijing University of Posts and Telecommunications, China, in 1997 and 2000, respectively. He joined Huawei research in 2005 working with 4G and 5G technologies. Since 2017 he has worked on 5G positioning and sensing. He owns 278 published patents and 77 scientific papers. Most patents are declared as ETSI type. He was the chair of 5G millimeter-wave group in IMT2020 promotion group in China during 2013 – 2018.
Panelists:
Dr. Yi Wang [SM’11] received his M.Sc. and Ph.D. degrees in the information engineering at Beijing University of Posts and Telecommunications, China, in 1997 and 2000, respectively. He joined Huawei research in 2005 working with 4G and 5G technologies. Since 2017 he has worked on 5G positioning and sensing. He owns 278 published patents and 77 scientific papers. Most patents are declared as ETSI type. He is the vice chair of IEEE Chapter in Shanghai. He was the chair of 5G millimeter-wave group in IMT2020 promotion group in China during 2013 – 2018.
Zhenfei Tang is the senior manager of wireless research in Huawei. He led 5G evolution research and managed a series of national projects from Huawei. He has been engaged in the research for 3G, 4G and 5G wireless communications systems and was the major representative of Huawei in 3GPP and IMT-Advanced Promotion Group in China since he joined Huawei Technologies Co., Ltd in 2005. Mr. Tang has more than 100 granted patents in the area of wireless communications and contributed more than 500 papers to international standards and meetings. He received his M.S. degree from Beijing University of Posts and Telecommunications in 2004.
Xiaofeng Liu received his B.S. degree in Communication Engineering from Beijing University of Posts & Telecommunications in 2003, his M.S and PHD. in Communication and Information Systems from Beijing University of Posts & Telecommunications, in 2006 and 2009. He is the deputy chief engineer of Mobile Communication Innovation Center of China Academy of Information and Communications Technology (CAICT), the Professor-level senior engineer. He is also serving as the Chair of IMT-2020(5G) Promotion Group 5G+AI Work Group. He has over 20 papers published and holds over 30 patents. He is the author of: 5G wireless system design and international standard and 5G wireless enhanced design and international standard. His current research focus on integration of wireless communication and AI.
Dr. Qiubin Gao received his B.S. and Ph.D degrees in control science and engineering from Tsinghua University, China, in 2002 and 2008, respectively. He joined CICT Mobile in 2008 and engaged in research and standardization of mobile communication system. He participated in the standardization and algorithm development of 4G and 5G mobile communication systems. He has more than 300 granted patents, published more than 40 journals and conference papers. He won the “Young Scientist Award” issued by the International Radio Union in 2014, and won the gold prize of China Patent Award in 2019. He is the chair of ultra-massive MIMO group in IMT2030 promotion group in China. His current research interests include system design for mobile communication, multiple-antenna technology, algorithm development, and system performance evaluation.
Wenyi Zhang is currently a Professor with the Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China. He received the bachelor’s degree in automation from Tsinghua University, Beijing, China, in 2001, and the master’s and Ph.D. degrees in electrical engineering from the University of Notre Dame, Notre Dame, IN, USA, in 2003 and 2006, respectively. He was with the Communication Science Institute, University of Southern California, as a Post-Doctoral Research Associate and with Qualcomm Inc., Corporate Research and Development. His research interests include wireless communications and networking, information theory, and statistical signal processing. He is a council member of Chinese Institute of Electronics Communications Society, a council member of China Institute of Communications, a vice chair of IEEE ComSoc Nanjing Chapter. He is currently an Editor of China Communications, and was an Editor of IEEE Communications Letters and IEEE Transactions on Wireless Communications.
Towards Native-AI Wireless Networks
Abstract: Empowered by recent advances in Deep Learning (DL) techniques, Artificial Intelligence (AI) has demonstrated the huge potential of coming up with intelligence-based solutions for challenging problems. To meet the real-time and large-scale learning and inference requirements, 6G must be an intelligent platform for multiple distributed collaborating wireless devices, supporting efficient learning and inference tasks. Therefore, 6G would be designed to provide AI services that could be built on DNN models with billions of neurons, whose distribution, storage, exchange, and update would present great challenges for wireless networks. To achieve this goal, the 6G network should be designed to support all kinds of AI services in an efficient manner in the future. The network architectures, air interface, and learning algorithms must be jointly designed to incorporate the AI capabilities and services in 6G native-AI wireless networks. The most interesting topics include but not limited to: 1) AI as a Service (AIaaS) in 6G and the practical use cases; 2) Network architecture design paradigm shift in 6G; 3) Distributed Learning and inference over the network and the impacts on 6G Radio Access Networks(RAN); 4) Potential key technologies of 6G native-AI wireless networks; 5) Evaluation methodology for AI services in 6G, and the key performance indicators for large scale learning and inference service.
Program Schedule:
- Introduction: Rong Li, (5 minutes)
- Speaker 1: Guangyi Liu, Talk Title: Native AI for 6G Wireless Network, (10 minutes)
- Speaker 2: Zhaoyang Zhang, Talk Title: Native AI-empowered communications and networking, (10 minutes),
- Speaker 3: Jianjun Wu, Talk Title: Network AI – Enabling 6G Pervasive Intelligence, (10 minutes)
- Speaker 4: Fei Qin, Talk Title: AI-native 6G System, (10 minutes)
- Speaker 5: Yachen Wang, Talk Title: TBD, (10 minutes)
- Panel discussion – Q&A session for all speakers/panelists and moderated by Rong Li (30 minutes)
- Concluding remarks – Rong Li(5 minutes)
Moderator and Panelists:
Moderator: Rong Li is senior research specialist of wireless technologies in Huawei 2012 Laboratory. He is a major contributor for 5G channel coding research and standardizations in Huawei. He is engaged in the research for wireless communications systems starting from 3G and has more than 100 authorized patents. He has contributed more than 200 papers to international standards and meetings, and now, his research interests are native-AI wireless networks and their key enabling technologies for 6G,
Panelisst:
Dr. Guangyi Liu, Chief Scientist and 6G Director of China Mobile Communication Corporation (CMCC), Co-chair of 6G Alliance of Network AI (6GANA), Vice chair of THz industry alliance in China, co-chair of the wireless technology working group of IMT-2030 (6G) promotion group supported by Ministry of Information and Industry Technology of China. He is leading the 6G R&D of CMCC since 2018. During 2014~2020, he led the research, standardization and industrialization 5G in CMCC; During 2006~2016, he led the research, standardization and industrialization of 4G’s evolution. He was awarded “national innovation award in science and technology of 2016” of Chinese government due to the contribution to TD-LTE standardization and industrialization globally. In 2009, 2013 and 2017, he received “excellent patent awards” from the Chinese Intellectual property office. He has published more than 150 papers and filed more than 500 patents.
Prof. Zhaoyang Zhang received the Ph.D. degree from Zhejiang University, Hangzhou, China, in 1998. He is currently a Qiushi Distinguished Professor with Zhejiang University. He has coauthored more than 300 peer-reviewed international journal and conference papers. His research interests include the fundamental aspects of wireless communications and networking, such as information theory and coding theory, network signal processing and distributed learning, AI-empowered communications and networking, and synergetic sensing, and computing and communication. He was the recipient of eight conference best papers awarded by IEEE ICC 2019 and IEEE GlobeCom 2020. He was awarded the National Natural Science Fund for Distinguished Young Scholars by NSFC in 2017.
Jianjun Wu has been working in Huawei from 2001, has been assigned multiple positions from chief engineer in shanghai R&D center to director of European research center, and from 2017 till now he is Director of the Future Network Architecture Lab and Chief of 6G Architecture, responsible for the definition/research of 6G network architecture, 5G E2E slicing solutions, standards and industry development.
Fei Qin, President, vivo Communications Research Institute. He received his master’s degree from the China Academy of Telecommunication Technology. He has more than 20 years experience in mobile communication technology research and standardization area which covers 3G, 4G, 5G and 6G. He joined vivo in 2016 and now serves as the President of vivo Communications Research Institute.
Yachen Wang is the General Manager of Wireless and IoT Network Center in Tencent. He is mainly leading in Tencent IoT Network, 5G, edge computing, Radio and wireless network related technical research, platform development and network deployment. Before joined in Tencent, he was the Deputy General Manager of Network Technology and AI R&D Center in China Mobile, President of ONAP, Vice Chair of Linux Networking Fund including ONAP, ODL, OPNFV etc. and Vice-Chairman of ITU-T SG13 IMT-2020/5G Working Party. He has much experience in 4G/5G, NFV/SDN, network evolution, international standardization, and open source etc.
Reconfigurable Intelligent Surfaces (RIS) for 5G-Advanced and 6G
Abstract: With the deployment of 5G networks and the start of standardizing 5G-Advanced, both academia and industry are exploring actively into future technologies for next generation wireless communication systems. Reconfigurable intelligent surfaces (RISs) have been envisioned to reduce the energy consumption and improve the spectral efficiency of wireless networks by artificially re-configuring the propagation environment of electromagnetic waves. RIS-based transmission, in which the large number of small, low-cost, and passive elements on RIS only reflect the incident signal with an adjustable reflection amplitude and phase shift without requiring a dedicated energy source for radio frequency processing, decoding or encoding, is completely different from existing active relays and open up a new area of research for wireless communications. RISs are being discussed actively in regional and global standardization development organizations and are likely to become a critical component of 5G-Advanced networks.
This panel of experts will be engaged in discussions of
- Theoretical analysis of RIS-assisted communication capacities
- Practical use cases for RIS in future networks
• Design and testing of RIS
• Communication protocols for RIS-assisted communication systems - Autonomous deployment of RIS
Panelists:
Marco Di Renzo is a CNRS Research Director (Professor) with the Laboratory of Signals and Systems (L2S) of Paris-Saclay University – CNRS and CentraleSupelec, Paris, France. He serves as the Coordinator of the Communications and Networks Research Area of the Laboratory of Excellence DigiCosme, as a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies, and as the Head of the Intelligent Physical Communications group with the Laboratory of Signals and Systems at CentraleSupelec. He serves as the Editor-in-Chief of IEEE Communications Letters, he is a founding member and a Vice Chair of the Industry Specification Group (ISG) on RIS within the European Telecommunications Standards Institute (ETSI), and he serves as the Rapporteur of the work item on communication models, channel models, and evaluation methodology. He is a Fellow of the IEEE, IET, and AAIA; an Ordinary Member of the European Academy of Sciences and Arts, and the Academia Europaea; and a Highly Cited Researcher. Also, he is a Fulbright Fellow and a Nokia Foundation Visiting Professor. His recent research awards include the 2021 EURASIP Best Paper Award, the 2022 IEEE COMSOC Outstanding Paper Award, and the 2022 Michel Monpetit Prize from the French Academy of Science..
Dr. Yifei Yuan received his Bachelor & Master degrees from Tsinghua University of China, and a Ph. D. from Carnegie Mellon University, USA. He was with Alcatel-Lucent from 2000 to 2008, working on 3G/4G key technologies. From 2008 to 2020, he was with ZTE as technical director and chief engineer responsible for standards research on LTE-Advanced and 5G. Since January 2020, he has been with China Mobile Research Institute as Chief Expert, responsible for advanced research of 6G air interface.
His research interests include MIMO, channel coding, non-orthogonal multiple access (NOMA), internet-of-things (IoT), resource scheduling. He has extensive publications, including 9 books on LTE-Advanced relay, LTE-Advanced key technologies & system performance, narrow-band (NB) IoT, 5G NR channel coding, 5G ultra-dense networks (UDN), 5G non-orthogonal multiple access, 5G random access enhancements, 5G massive MIMO enhancements, respectively. He has over 50 granted US patents. He is the rapporteur of NOMA study item in 3GPP. He is the recipient of Best Paper Award by IEEE Communications Society Asia-Pacific Board for a paper on NOMA in IEEE Communications Magazine. He serves as the editors of IEEE Communications Letters, and China Communications, and the Editor in Chief of Hans Wireless Communications.
Xu Xia graduated in 2005 from Chonbuk National University (South Korea) with a Master of Science degree in Information and Communication. He has been with China Telecom Research Institute since 2012 and his activities mainly focus on core network innovation. Currently he is Standards Director heading researches and standardization for 6G, B5G, and Industry convergence. He has made extensive contributions to GSMA, CCSA and 5GAA standards and holds the role of vice chair of 3GPP SA1. He has also served on keynotes, program and organization committees of numerous leading wireless and networking conferences. He is an IEEE member.
Yuanwei Liu is an Assistant Professor (Lecturer) at Queen Mary University of London (QMUL) since 2017, where he received the PhD degree in 2016. He was a Postdoctoral Research Fellow at King’s College London (KCL) (Sep. 2016- Aug. 2017). His research interests are NOMA, RIS, UAV communications, and machine learning. He has over 170 refereed publications attributed, including 100+ IEEE journal papers, 4 book/book Chapters. He has over 13 ESI highly cited papers and 17 IEEE ComSoc Best Readings papers. He received over 8300 citations in Google Scholar with an h-index is 41. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He is the recipient of the 2020 Early Achievement Award of the IEEE ComSoc – Signal Processing and Computing for Communications (SPCC) Technical Committee. He is listed among the World’s Top 2% Scientists by Stanford University.
He is the Senior Editor of IEEE COMMUNICATIONS LETTERS, 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 has served as a TPC Member for many IEEE conferences, such as GLOBECOM and ICC. He received the Exemplary Reviewer Certificate of IEEE WIRELESS COMMUNICATIONS LETTERS in 2015, IEEE TRANSACTIONS ON COMMUNICATIONS in 2016 and 2017, and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS in 2017 and 2018. He has served as the Publicity Co-Chair for VTC 2019-Fall. He is the leading contributor for “Best Readings for Non-Orthogonal Multiple Access (NOMA)” and the primary contributor for “Best Readings for Reconfigurable Intelligent Surfaces (RIS)”. He serves as the chair of Special Interest Group (SIG) in Signal Processing and Computing for Communications (SPCC) Technical Committee on the topic of signal processing Techniques for next generation multiple access (NGMA), the vice-chair of SIG Wireless Communications Technical Committee (WTC) on the topic of Reconfigurable Intelligent Surfaces for Smart Radio Environments (RISE), and the Tutorials and Invited Presentations Officer for Reconfigurable Intelligent Surfaces Emerging Technology Initiative.