IoT Thrust Seminar | Pushing AI to the 6G Edge
6G will feature edge intelligence referring to ubiquitous deployment of AI algorithms at the network edge. To attain unprecedented end-to-end (E2E) performance, researchers embrace the new design approach of integrated communication-and-computing (iCC). While 5G allows coarse message exchange (e.g., performance requirements) between application and physical layers, the new iCC approach in 6G features joint design and control of AI and communication algorithms under E2E objectives. In this talk, I will provide an overview of the design approach and advancements in 6G edge intelligence. Many topics will be covered including ultra-low-latency edge AI, over-the-air computing, in-memory baseband processing, distributed sensing, in-network inference, and AI model downloading.
Kaibin Huang received the B.Eng. and M.Eng. degrees from the National University of Singapore and the Ph.D. degree from The University of Texas at Austin, all in electrical engineering. He is the Philip Wong Wilson Wong Professor and the Department Head at the Dept. of Electrical and Electronic Engineering, The University of Hong Kong (HKU), Hong Kong. His work was recognized with seven Best Paper awards from the IEEE Communication Society. He is a member of the Engineering Panel of Hong Kong Research Grants Council (RGC) and a RGC Research Fellow (2021 Class). He has served on the editorial boards of five major journals and co-edited ten journal special issues, all in the area of wireless communications. He has been active in organizing international conferences such as the 2014, 2017, and 2023 editions of IEEE Globecom, a flagship conference in communication. He has been named as a Highly Cited Researcher by Clarivate in the last six years (2019-2024) and an AI 2000 Most Influential Scholar (Top 30 in Internet of Things) in 2023-2024. He was an IEEE Distinguished Lecturer. He is a Fellow of the IEEE and the US National Academy of Inventors.