Chao-Kai Wen
National Sun Yat-sen University, Taiwan SAR, China
Dr. Chao-Kai Wen is a Professor at the Institute of Communication Engineering, National Sun Yat-sen University. He is an IEEE Fellow and a Highly Cited Researcher recognized by Clarivate Analytics. From 2018 to 2021, he served as Director of the Institute of Communication Engineering, and from 2020 to 2023, he was Vice Dean of the College of Engineering. Before joining academia, he worked as an engineer at the Industrial Technology Research Institute (ITRI) and MediaTek (MTK) between 2004 and 2009. Dr. Wen's primary research focus is on communication signal processing. He currently serves as an editor, associate editor, and guest editor for several IEEE journals, including the IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Wireless Communications Letters, IEEE Communications Letters, and IEEE Communication Magazine. He has received multiple awards, including the 2016 GLOBECOM and 2022/2025 ICC Best Paper Awards, the 2023 Jack Neubauer Memorial Award, and the Best Editor Award for both IEEE Wireless Communications Letters and IEEE Communications Letters.
Future 6G devices will not work alone. Smartphones, wearables, CPEs, vehicles, and nearby devices can cooperate to form a virtual multi-antenna terminal, providing more antenna branches, higher MIMO rank, and a larger sensing aperture. This concept, known as UE-CoMIMO, can overcome the physical limitations of individual user equipment. However, as cooperation expands from communication to sensing, computing, and task-oriented information exchange, a new question arises: how should these devices cooperate, and how should the system adapt when conditions change? In this talk, I will introduce Agentic UE-CoMIMO, which brings AI-native control into device cooperation. Device micro-agents, hub agents, and edge/network agents work together to understand user intent, select devices and cooperation modes, allocate communication and computing resources, and reconfigure the cooperation topology when needed. Through examples of creator-centric live streaming and wearable-assisted blind-spot sensing, I will show how agentic control can anticipate changes, prepare backup actions, and maintain service when links or devices fail. Finally, I will discuss the key challenges toward practical 6G deployment, including interoperability, standardization, trust, and validation.