Sensing and Communications Track

Sensing and communications play as one of the fundamental roles for enabling future smart cities. In particular, the past years have witnessed an explosive growth in the advanced IoT technologies for intelligent sensing, covering the LPWAN represented by LoRa and Narrowband IoT, integrated sensing and communications, backscatter enabled IoT, as well as the smart/collaborative sensing and crowdsource services for different applications. At the meanwhile, the great development of 5G/6G communications also provide for momentous supports for smart sensing and communications services, e.g., Massive MIMO, intelligent reflection surface, and mobile edge/cloud computing. Therefore, this track aims at promoting the discussions on the latest developments in the fundamentals, technologies, and practices in fields of intelligent sensing and communications technologies, with the objective of enabling intelligent, green, and secure sensing and communications systems for future smart city.

Invited Speakers (in alphabetical order)

Lin CAI
Professor, IEEE Fellow, EIC Fellow, NSERC E.W.R. Steacie Memorial Fellow
University of Victoria

Talk Title: Self-Evolving and Transformative (SET) Protocol Architecture for 6G

Fan LIU
Assistant Professor, Southern University of  Science and Technology
Talk Title: On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels

Zhaoming LU
Associate Professor, Beijing University of Post and Telecommunications
Talk Title: Joint Vehicular Localization and Reflective Mapping Based on Team Channel-SLAM

Marco Di Renzo
Professor, IEEE Fellow, IET Fellow, AAIA Fellow
Paris-Saclay University Paris

Talk Title: Reconfigurable Intelligent and Holographic Surfaces for Wireless Communications – On Modeling the Mutual Coupling

Lingyang SONG
Professor, Peking University
Talk Title: Reconfigurable Holographic Surfaces: A New Paradigm to Holographic Communications for 6G

Beibei WANG
Vice President, Origin Wireless, Inc.
Talk Title: Wi-Fi Can Do More: Towards Ubiquitous Wireless Sensing

Celimuge WU
Professor, University of Electro-Communications
Talk Title: Empowering Federated Learning in IoV with Fuzzy Logic-based Client Selection

Jinsong WU
Professor, University of Chile
Talk Title: Environmental Sustainability and Intelligence as well as General Green Technologies

Yuan WU
Associate Professor, University of Macau
Talk Title: Green Federated Learning: A Wireless Power Transfer Approach