CANCELLED

W22 – LLM-Enabled 6G: Smart Radio Control and Distributed Edge Computing

Co-organizer: Qihao Peng, University of Surrey, UK
Co-organizer: Hao Zhou, Samsung Research America, USA
Co-organizer: Kai Yu, KTH Royal Institute of Technology, Sweden
Co-organizer: Kezhi Wang, Brunel University London, UK

Abstract: The transition towards 6G requires a paradigm shift from predictive optimization to generative AI (GenAI), particularly for controlling complex smart radio environments (SREs). While technologies like Reconfigurable Intelligent Surfaces (RIS) and Cell-Free Massive MIMO offer the physical capability to program the radio medium, controlling these large-scale systems in dynamic scenarios remains a challenge for traditional AI. Large Language Models (LLMs) and multi-modal foundation models are emerging as game-changers, offering the ability to reason, generalize across tasks, and process heterogeneous data (text, image, RF) for semantic-aware network control. This workshop aims to establish the architectural and algorithmic foundations for LLM-native Smart Radio Environments. It will serve as a premier platform to explore how GenAI can evolve SREs from passive entities into self-governing, intent-driven ecosystems. Key themes include LLM-based channel estimation, generative beamforming, multi-modal sensing for blockage prediction, and intent-based networking. By bringing together experts from AI and wireless communications, this workshop seeks to bridge the gap between foundation models and physical-layer infrastructure, paving the way for autonomous 6G networks.

Co-organizer’s Bios:

Qihao Peng: 

Qihao Peng received the Ph.D. degree from the School of Electronic Engineering and Computer Science, Queen Mary University of London, U.K., in 2024. He is currently a research fellow with the School of Electrical Engineering and Computer Science, University of Surrey, UK. His research interests include reconfigurable intelligent surfaces, cell-free massive MIMO, and URLLC. He serves as an associate editor for IEEE Transactions on Communications. He also serves/served as a co-chair/TPC member for a number of conferences.

Hao Zhou: 

Hao Zhou is a senior research engineer at Samsung Research America, focusing on the intersection of large language models (LLMs) and 6G network intelligence. He received his Ph.D. in Electrical and Computer Engineering from the University of Ottawa in 2023 and was a postdoctoral researcher at McGill University. Dr. Zhou’s research spans reinforcement learning, LLMs for telecom knowledge understanding, and AI-driven network optimization. His work has been recognized with the IEEE ICC 2023 Best Paper Award, the IEEE ComSoc CSIM TC Best Journal Paper Award, and the Best Doctoral Thesis Award from the University of Ottawa. He has also led multiple industry-academia collaborations with Ericsson Canada and Samsung Research America.

Kai Yu: 

Kai Yu received the Ph.D. degree in Electronic Science and Engineering from the School of Electronic Science and Engineering, Nanjing University, China, in 2025. He is currently a postdoctoral researcher with the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden. His research interests include wireless signal processing, cell-free massive MIMO, semantic and intelligent communications, and in-context learning for wireless networks.

Kezhi Wang: 

Kezhi Wang received his Ph.D. degree from the University of Warwick, UK in 2015. He was a Senior Research Officer with the University of Essex, UK from 2015-2017, and a Lecturer/Senior Lecturer with Northumbria University, UK from 2017-2022, and now he is a Professor with the Department of Computer Science at Brunel University London, UK. He has been listed as a Clarivate Highly Cited Researcher, 2023. His research interests include wireless communications, machine learning, large AI model-assisted wireless communication systems, signal processing, mobile edge computing, and UAVs. He serves as an associate editor for six international journals, including IEEE Transactions on Vehicular Technology, IEEE Wireless Communications Letters, and IEEE Communications Letters. He also serves/served as a TPC Track Chair/Publicity Co-Chair/Session Chair/TPC member for a number of conferences. He has published more than 150 journal and conference papers, including 110+ publications in IEEE journals with Google Citation 11,700+ (h-index: 52). He has received several awards, including the prestigious IEEE Communications Society Leonard G. Abraham Prize (2022) and IEEE Communications Society Heinrich Hertz Award (2023).

Paper submission deadline Extended: 8 February 2026
Acceptance notification: 18 March 2026
Final paper submission deadline Extended: 7 April 2026

Submission requirements: 5-page paper (without overlength charge) and up to 2 additional pages are allowed with the purchase of additional page charges in the amount of $100 USD per additional page at the time of registration and final paper submission.

Paper submission can be located here: https://vtc2026s-rr-wks.trackchair.com/