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)

Xidian University, China

Talk Title: Federated Learning for Heterogeneous Scenarios

Waltenegus DARGIE
TU Dresden, Germany

Talk Title: Experience with Developing and Deploying Practical Internet of Things

Professor, Changjiang Scholar
Fudan University, China

Talk Title: Compressed Spectrum Sensing and Learning: From Theory to Practice

Yonghui LI
Professor, IEEE Fellow
University of Sydney, Australia

Talk Title: Ultra Reliable and Low Latency Communications for 5G and Beyond

Kaoru OTA
Professor, EAJ Fellow
Muroran Institute of Technology, Japan

Talk Title: RIS assisted Indoor Wireless Communications for QoE Optimization

Yulin SHAO
Assistant Professor
University of Macau, Macau

Talk Title: Understanding Semantic Communication

Zhiguo SHI
Professor, Vice Dean,
Zhejiang University, China

Talk Title: MSE Lower Bound for Multi-Source DOA Estimation: From Cramér-Rao to Ziv-Zakai

Associate Professor, IEEE Fellow
Hong Kong University of Science and Technology, Hong Kong

Talk Title: Task-oriented Communications for Edge AI

IEEE Fellow
University of Oslo, Norway

Talk Title: Machine Learning in Digital Twin Edge Networks

Huiling ZHU
University of Kent, UK

Talk Title: Two-Time scale Design for Multi-RIS Assited Cell-free Massive MIMO Networks