Prof. Sherman Shen, University of Waterloo, Canada
President of IEEE Communications Society; Foreign member of the Chinese Academy of Engineering; Fellow of Engineering Institute of Canada, Canadian Academy of Engineering, and Royal Society of Canada
Bio: Xuemin (Sherman) Shen is a University Professor with the Department of Electrical and Computer Engineering, University of Waterloo, Canada. His research focuses on network resource management, wireless network security, Internet of Things, 5G and beyond, and vehicular networks. Dr. Shen is a registered Professional Engineer of Ontario, Canada, a Canadian Academy of Engineering Fellow, a Royal Society of Canada Fellow, a Chinese Academy of Engineering Foreign Member, and an IEEE Fellow.
Dr. Shen served as the Technical Program Committee Chair/Co-Chair for IEEE Globecom’16, IEEE Infocom’14, IEEE VTC’10 Fall, IEEE Globecom’07, and the Chair for the IEEE ComSoc Technical Committee on Wireless Communications. Dr. Shen is the President of the IEEE ComSoc. He was the Vice President for Technical & Educational Activities, Vice President for Publications, Member-at-Large on the Board of Governors, Chair of the Distinguished Lecturer Selection Committee, and Member of IEEE Fellow Selection Committee of the ComSoc.
Speech Title: Computation Offloading and Task Scheduling on the Network Edge
Abstract: Next-generation wireless networks are anticipated to provide connectivity for massive mobile devices and to enable a variety of innovative applications, which also generate enormous computing service demands with diverse and stringent Quality of Service (QoS) requirements. Mobile Edge Computing (MEC), as cutting-edge technology in next-generation networks, can utilize computing resources on the network edge to provide computing services for mobile devices within a radio access network. In this talk, we will present computing resource management for MEC. We will introduce two computation offloading and task scheduling schemes tailored for supporting representative use cases and network scenarios in next-generation wireless networks, including the Internet of Vehicles and mobile virtual reality video streaming. Data-model-driven resource management approaches will be exploited to facilitate low-latency and reliable computing services in complex and dynamic network environments.
Prof. Hongke Zhang, Beijing Jiaotong University, China
Member of the Chinese Academy of Engineering
Bio: Hongke Zhang is an academician of the Chinese Academy of Engineering (CAE) and an IEEE Fellow. He is currently a professor, doctoral supervisor and director of the National Engineering Research Center of Advanced Network Technologies at the School of Electronic and Information Engineering in Beijing Jiaotong University. Dr. Zhang has served as the chief scientist of the National “973” Program and engaged in advanced communication network theory and engineering technology research. He sets up the identifier-based network function structure and mapping mechanism, and effectively solves the problem high mobile support and reliable transmission in the complex network scenarios. He receives many awards include two National Technical Invention award (second prize). He also has published 6 monographs and 100 papers in Chinese science, IEEE Network and other journals as the first/corresponding author. He is also the leader of the “Huang Da Nian” teacher team in the first batch of national universities.
Speech Title: Research and Exploration of Emerging Network Technologies Abstract: Space-air-ground networks are the significant infrastructures of "where national interests go, where information network covers". However, traditional satellite communication has many defects, such as the poor transmission and weak coordination ability. The existing ground network technologies cannot be simply "copied" to the satellite network. Therefore, it is urgent to create a new space-air-ground network system. This report mainly introduces the smart integrated identifier network, which aims to efficiently provide diversified network support and involve the future network development. This report is helpful to promote the transformation and breakthrough of space-air-ground network technology and solves the main technical challenges of secure, manageable and controllable network, reliable and stable transmission, and ubiquitous access.
Speech Title: Research and Exploration of Emerging Network Technologies
Abstract: Space-air-ground networks are the significant infrastructures of "where national interests go, where information network covers". However, traditional satellite communication has many defects, such as the poor transmission and weak coordination ability. The existing ground network technologies cannot be simply "copied" to the satellite network. Therefore, it is urgent to create a new space-air-ground network system. This report mainly introduces the smart integrated identifier network, which aims to efficiently provide diversified network support and involve the future network development. This report is helpful to promote the transformation and breakthrough of space-air-ground network technology and solves the main technical challenges of secure, manageable and controllable network, reliable and stable transmission, and ubiquitous access.
Prof. H. Vincent Poor, Princeton University, USA
Member of the US National Academy of Science
Bio: H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University, where his interests include information theory, machine learning and network science, and their applications in wireless networks, energy systems, and related areas. Among his publications in these areas is the forthcoming book Machine Learning and Wireless Communications, to be published by Cambridge University Press. Dr. Poor is a member of the U.S. National Academy of Engineering and the U.S. National Academy of Sciences, and is a foreign member of the Chinese Academy of Sciences, the Royal Society, and other national and international academies.
Speech Title: Federated Learning at the Wireless Edge
Abstract: Wireless networks can be used as platforms for machine learning, taking advantage of the fact that data is often collected at the edges of networks, and also mitigating the latency and privacy concerns that backhauling data to the cloud can entail. Focusing primarily on federated learning, this talk will discuss several issues arising in this context including the effects of wireless transmission on learning performance, the allocation of wireless resources to learning, and privacy leakage. A number of open problems will also be discussed.
Prof. Lajos Hanzo, University of Southampton, UK
Fellow of the Royal Academy of Engineering
Bio: Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk) FREng, FIEEE, FIET, Eurasip Fellow, DSc holds the Chair of Telecommunications at Southampton University, UK. He co-authored 19 IEEE Press - John Wiley books and 2000+ research contributions at IEEE Xplore, organized and chaired major IEEE conferences and has been awarded a number of distinctions. His research is funded by the European Research Council's Advanced Fellow Grant.
Speech Title: On the Road From Classical to Quantum Communications...
Abstract: The marriage of ever-more sophisticated signal processing and wireless communications has led to compelling 'tele-presence' solutions - at the touch of a dialling key...
However, the 'quantum' leaps both in digital signal processing theory and in its nano-scale based implementation is set to depart from classical physics obeying the well-understood laws revealed by science. We embark on a journey into the weird and wonderful world of quantum-physics, where the traveller has to obey the sometimes strange new rules of the quantum-world.
Hence we ask the judicious question: can the marriage of applied signal processing and communications extend beyond the classical world into the quantum world?
Please join this exciting journey valued Colleague!
Dr. Wen Tong, CTO, Wireless Network, Huawei Technologies Co., Ltd.
Bio: Dr. Wen Tong is the CTO, Huawei Wireless. He is the head of Huawei wireless research. In 2011, Dr. Tong was appointed the Head of Communications Technologies Labs of Huawei, currently, he is the Huawei 5G chief scientist and led Huawei’s 10-year-long 5G wireless technologies research and development.
Prior to joining Huawei in 2009, Dr. Tong was the Nortel Fellow and head of the Network Technology Labs at Nortel. He joined the Wireless Technology Labs at Bell Northern Research in 1995 in Canada.
Dr. Tong is the industry recognized leader in invention of advanced wireless technologies, Dr. Tong was elected as a Huawei Fellow and an IEEE Fellow. He was the recipient of IEEE Communications Society Industry Innovation Award in 2014, and IEEE Communications Society Distinguished Industry Leader Award for “pioneering technical contributions and leadership in the mobile communications industry and innovation in 5G mobile communications technology” in 2018. He is also the recipient of R.A. Fessenden Medal. For the past three decades, he had pioneered fundamental technologies from 1G to 5G wireless with more than 530 awarded US patents.
Dr. Tong is a Fellow of Canadian Academy of Engineering, and he serves as Board of Director of Wi-Fi Alliance.
Speech Title: Machine Learning Based Post-Shannon Cognition Communications
Abstract: In this talk, a new machine learning based communications architecture is presented; the Type-1 is a direct-communications framework; where we use machine learning technique to identify the specific object in the physical world and to use the extreme compression with ultra-low data-rate to communicate the object scenery information in real-time; the Type-2 is a hierarchical-communications framework; which consists of the partition of the System-1 and System-2, such that the communication entropy is distilled into System-2, this enables so-called intelligence communications. Both Type-1 and Type-2 communications can be developed as foundational technologies for 6G to enable the new paradigm for machine-to-machine, and human-to-machine communications.
Prof. Fumiyuki Adachi, Tohoku University, Japan
IEEE Fellow
Bio: Fumiyuki Adachi joined the NTT in 1973 and conducted various types of research of digital cellular mobile communications. From 1992 to 1999, he was with NTT DoCoMo, Inc., where he led a research group on Wideband CDMA for 3G systems. Since January 2000, he has been with Tohoku University, Sendai, Japan. Currently, he is a Professor Emeritus of Tohoku University. He is leading a resilient wireless communication research group aiming at 5G advanced systems as a Specially Appointed Research Fellow at International Research Institute of Disaster Science. His research interests are in the area of wireless signal processing and networking. He is an IEEE Life Fellow and an IEICE Life Fellow. He was a recipient of the IEEE Vehicular Technology Society Avant Garde Award 2000, IEICE Achievement Award 2002, Thomson Scientific Research Front Award 2004, Prime Minister Invention Award 2010, IEEE VTS Stuart Meyer Memorial Award 2017, IEEE ComSoc RCC Technical Recognition Award 2017, etc.
Speech Title: History of Mobile Communication Systems Evolution, and Wireless Challenge Towards Beyond 5G
Abstract: Taking about 40 years, the mobile communication systems have evolved from 1G to 5G. 5G communication services were launched worldwide around 2020. A variety of new mobile communication services are available in 5G era and the mobile data traffic will not stop increasing. Although the mmWave band has been allocated for 5G services, the available radio bandwidth is still not enough. Further advancement of the radio access network (RAN) is necessary to support the growing 5G services. Now many research engineers are intensifying their research efforts on 5G advanced and beyond 5G systems. In this talk, 40-year history of mobile communication systems evolution will be reviewed and then, wireless challenge towards beyond 5G will be presented, including our thoughts about beyond 5G services and architecture. A promising approach is ultra-densification of RAN. A promising architecture of scalable, reconfigurable ultra-dense RAN and the state-of-the art technology to deal with the serious interference problem will be presented.
Prof. Gui-Lu Long, Tsinghua University, China
Bio: Gui-Lu Long is professor at Tsinghua University, and his research areas are quantum communication and quantum computation. Professor Long is APS Fellow and IOP Fellow. He is director of quantum communication committee of China Institute of Communications. He served as Presi¬dent of AAPPS (2017–2019) and Vice-Chair of C13 of IUPAP (2015–2017). He has published 300+ refereed papers, and has 23,000+ citations.
Speech Title: Quantum Secure Direct Communication
Abstract: Quantum secure direct communication transmits information securely using quantum states directly without pre-sharing a key. In his keynote talk, after brief introduction of the basic principles, Prof. will survey the major milestones of QSDC, and recent status and future perspectives.
Prof. Robert Schober, Friedrich-Alexander University Erlangen-Nurnberg (FAU), Germany
Fellow of the Canadian Academy of Engineering
Bio: Robert Schober is an Alexander von Humboldt Professor and the Chair of the Department of Electrical Engineering at FAU. His research interests fall into the broad areas of Communication Theory, Wireless and Molecular Communications, and Statistical Signal Processing. He is listed as a Highly Cited Researcher by the Web of Science. Robert is a Fellow of the Canadian Academy of Engineering, a Fellow of the Engineering Institute of Canada, and a Member of the German National Academy of Science and Engineering. He served as Editor-in-Chief of the IEEE Transactions on Communications from 2012 to 2015 and as VP Publications of the IEEE Communication Society (ComSoc) in 2020 and 2021. Currently, he serves as Member of the Editorial Board of the Proceedings of the IEEE, as Member at Large of the ComSoc Board of Governors, and as ComSoc Treasurer.
Speech Title: Intelligent Reflecting Surfaces: From RF to Optical Frequencies
Abstract: Intelligent reflecting surfaces (IRSs) have the potential to transform wireless communication channels into smart reconfigurable propagation environments and are expected to become an essential part of 6G wireless systems. The realization, modeling, and optimization of IRS-assisted systems strongly depend on the operating frequency. In this talk, we compare the modelling and optimization of radio-frequency (RF) and optical IRS-assisted systems. To this end, we present physics-based IRS models for both cases and study the implications for system design. Furthermore, promising directions for future research on both IRS-assisted RF and optical systems are provided.
