Wireless innovations Next-generation
Online Workshop(WiNOW)
3-6 November, 2025 // Virtual
Kun Yang
University of Essex
Kun Yang received his PhD from the Department of Electronic & Electrical Engineering of University College London (UCL), UK. He is currently a Chair Professor in University of Essex and he is also affiliated with Nanjing University. His main research interests include wireless networks and communications, edge computing and AI for wireless. He has published 500+ papers and filed 50 patents. He serves on the editorial boards of a number of IEEE journals (e.g., IEEE WCM, TNSE, TVT, TNB). He is a Deputy Editor-in-Chief of IET Smart Cities Journal. He has been a Judge of GSMA GLOMO Award at World Mobile Congress – Barcelona since 2019. He was a recipient of the 2024 IET Achievement Medal and the 2024 IEEE CommSoft TC Achievement Award.
He is a Member of Academia Europaea (MAE), a Fellow of IEEE, and a Fellow of IET.
Talk Title: AI-enabled Self-driving Communication Networks
Modern Artificial Intelligence (AI) has proven to be a powerful enabler that has gained success in many vertical fields. There is a clear evidence of determined effort in the communication and network community to explore the AI power to deliver 6G mobile network’s promises of being faster, greener and smarter. This talk starts with a brief introduction of 6G mobile communication systems, and then looks into how new AI technologies come into play in 6G from different perspectives. It covers new trends in 6G communication research such as data-driven end-to-end communication system design, semantic communications, digital twin networks (DTN). One major objective of these researches is to achieve self-driving communication networks where lengthy standardization of such as communication waveforms or protocol design can be somehow reduced or even eliminated, thus enabling 6G to self-drive to versatile requirements from vertical industries.