时间：2026年7月23日星期四09:50-10:35
地点：无线谷A1208
题目：Overview of Green and Intelligent Technologies for Future Wireless Systems
摘要：
In 2030, wireless systems will evolve significantly from current networks to provide more integrated and energy efficient solutions. In this talk we will describe the motivation and design of these future systems and give examples of how optimization and machine learning (ML) methods can be applied to improve performance. These challenges cover particularly how wireless devices can reason about the radio environment to enable and perform communication in an efficient manner. In the first part of the talk, we will introduce a novel neural network for channel estimation tasks, called Channelformer. In the second part, we will also discuss our recent research on performance improvement for a novel antenna design called the fluid antenna system.
演讲人：John Thompson, University of Edinburgh
John Thompson (IEEE Fellow) currently holds a personal chair in Signal Processing and Communications at the School of Engineering, University of Edinburgh. He currently specializes in antenna array processing, energy-efficient wireless communications and more recently in the application of machine learning to wireless communications. To date, he has published in excess of 500 journal and conference papers on these topics. He is currently area editor for the wireless communications topic in IEEE Transactions on Green Communications and Networking. In January 2016, he was elevated to Fellow of the IEEE for research contributions to antenna arrays and multi-hop communications. He was also one of four scientists elevated to Fellow of the European Association for Signal Processing (EURASIP) in 2023 for “signal processing advances in multiple antenna and relayed wireless communication systems”.
