W6: AI RAN

Co-Organizer: Hongliang Zhang, Peking University, China
Co-Organizer: Aryan Kaushik, Manchester Metropolitan University, UK
Co-Organizer: Qingyu Liu, Peking University, China

Abstract: The radio access network (RAN) plays a pivotal role in our increasingly connected world. As the demands of modern applications and connected devices have grown rapidly over time, the limitations of conventional RAN in handling the complexity, scalability, and performance demands of wireless networks have become apparent. The integration of AI and RAN heralds a transformative era, enabling the development of more adaptive, intelligent, high-performing, and versatile network systems. AI RAN is a key enabler for next-generation networks like 6G, where the complexity and demand for high performance require advanced automation and intelligent management.

Although early explorations of AI RAN concepts and applications are promising, many research challenges still exist, such as how to leverage AI to improve spectral and operational efficiency, optimize radio resource management, and enable predictive maintenance. Other challenges include: application of generative models or large models for RAN to improve efficiency, capacity, and performance metrics; evolution paradigms to optimize the performance of models for RAN; security and privacy for AI RAN.

The future AI RAN cannot operate efficiently, unless these challenges are properly addressed. The aim of the workshop is to bring together industry leaders, research institutions, and academia to
present and discuss the problems, challenges, and directions in the fields of AI RAN. This workshop seeks papers dealing with architectural issues, theoretical studies, new paradigms, enabling technologies, practical implementations, and policy issues for AI RAN. Besides the technical insights, the workshop will provide a supportive environment for technical discussions between like-minded researchers and engineers.

Program:
Date: October 19, Sunday, 2025
Location: IC Ballroom

●09:00-09:18: AI-Enhanced CSI Feedback via Exploiting Multi-user Shared Information in mMIMO Systems
●09:18-09:36: Deep Learning based Unified CSI Feedback for TDD and FDD Massive MIMO Systems
●09:36-09:54: Deep Reinforcement Learning based Coordinated Resource Scheduling for Live Streaming
●09:54-10:12: Edge-Cloud Collaborative Model Inference for Aerial Networks with Distributionally Diverse Data
●10:12-10:30: Environment-Adaptive Access Control Scheme Design in Smart Factories Enabled by Deep Reinforcement Learning
●11:00-11:18: Fine-Grained Radio Map Construction from Ultra-Sparse Sampling: An Edge-Cloud Model Collaboration Paradigm
●11:18-11:36: Generative Adversarial Network-Enhanced Hybrid Autoencoder Design for Downlink SCMA Systems
●11:36-11:54: Multi-Agent DRL for Distributed Task Offloading in Energy Harvesting Enhanced Hierarchical MEC
●11:54-12:12: Satellite Service Prediction via Spatial-Temporal GNN Integrated with Orbital Context
●12:12-12:30: STOTO: Spatio-Temporal Transformer-Based Opportunistic Task Offloading for LEO Networks

End

Co-Organizer’s Bios:
Hongliang Zhang

Hongliang Zhang received B.S. and Ph.D. degrees at the School of Electrical Engineering and Computer Science at Peking University, in 2014 and 2019, respectively, where he is currently an
Endowed Boya Young Fellow Assistant Professor with School of Electronics. His current research interests include intelligent surfaces, aerial access networks, and Internet of Things. He received the best doctoral thesis award from Chinese Institute of Electronics in 2019. He is also the recipient of 2024 IEEE GLOBECOM Best Paper Award, 2024 IEEE/CIC ICCC Best Demo Award, 2023 IEEE
ComSoc Asia-Pacific Outstanding Young Researcher Award, 2021 IEEE Comsoc Heinrich Hertz Award for Best Communications Letters, and 2021 IEEE ComSoc Asia-Pacific Outstanding Paper
Award. He has served as a TPC Member and a workshop co-chair for many IEEE conferences. He is the winner of the Outstanding

Leadership Award as the publicity chair for IEEE EUC in 2022. He is currently an Editor for IEEE Transactions on Cognitive Communications and Networking, IEEE Internet of Things Journal, IEEE
Transactions on Vehicular Technology, IEEE Communications Letters, and IET Communications. He is an exemplary editor for IEEE Communications Letters in 2023.

Aryan Kaushik

Dr. Aryan Kaushik is Associate Professor at the Manchester Met, UK, associated with the Department of Computing and Mathematics, since 2024. Prior to that, he has been an Assistant Professor (on a senior grade) at the University of Sussex, UK, associated with the School of Engineering and Informatics, from 2021-24, where he also served as the Recruitment and Admissions Tutor, and Academic Advisor. He has been Research Fellow at the University College London, UK, with the Department of Electronic and Electrical Engineering, from 2020-21. He completed his PhD degree in Communications Engineering at the School of Engineering, University of Edinburgh, UK, in 2019. He received his MSc degree in Telecommunications from the Hong Kong University of Science and Technology, Hong Kong, in 2015. He has held visiting professor/researcher appointments at the Imperial College London, UK, from 2019-20, University of Bologna, Italy, in 2024, University of Luxembourg, Luxembourg in 2018, Athena Research and Innovation Center, Greece, in 2021, and Beihang University, China, from 2017-19, 2022. He has also served as External Assessor (Academic Promotion) such as at the University of Hertfordshire, UK, in 2025, and in PhD Thesis Evaluation Committee internationally such as at the Universidad Carlos III de Madrid (UC3M), Spain, in 2023.

Qingyu Liu

Qingyu Liu received the Ph.D. degree in computer engineering from Virginia Tech, Blacksburg, VA, USA, in 2019. He is currently an Assistant Professor with the School of Electronic and Computer
Engineering, Peking University, where he joined in June 2023. Prior to joining Peking University, he was a Postdoc and then a Research Assistant Professor of electrical and computer engineering with Virginia Tech, from September 2019 to May 2023. His research interests include wireless networking, mobile networking, edge AI, and the Internet of Things. He has been serving on TPC of IEEE INFOCOM since 2021, and was awarded as a Distinguished Member of the INFOCOM TPC in 2023. He now serves as the Secretary for the IEEE ComSoc Asia/Pacific Region Board.