Presenters:
Dr. Chenyuan Feng, University of Exeter, U.K.
Prof. Howard H. Yang, Zhejiang University, China
Prof. Geyong Min, University of Exeter, U.K.
Prof. Tony Q. S. Quek, Singapore University of Technology and Design, Singapore
Abstract:
Format this into a single paragraph: With the rapid evolution from 5G-Advanced to 6G, wireless systems face unprecedented challenges in terms of traffic heterogeneity, QoE assurance, energy efficiency, and system complexity. Edge AI is emerging as the enabler for low-latency and context-aware intelligence, while the paradigm of AI-native RAN promises to embed AI into the very fabric of radio networks. This tutorial explores how Edge AI and AI-native RAN can be synergistically designed, optimized, and deployed, creating a unified ecosystem where intelligence is not an add-on but an integral feature of wireless communication infrastructures. Drawing upon the combined expertise of four internationally recognized researchers, the tutorial covers: (i) high-performance computing and analytical modeling foundations for Next-G RAN; (ii) edge-cloud orchestration and AI-driven resource optimization; (iii) cutting-edge advances in Edge AI for communications and task-oriented networking; and (iv) architectural and system perspectives on AI-native RAN, including co-hosting of AI and RAN workloads. Through cross-disciplinary insights, we highlight both theoretical underpinnings and practical deployment paths, making it valuable for both academia and industry.
Biographies:
Chenyuan Feng received her Ph.D. degree in Information Systems Technology and Design from the Singapore University of Technology and Design in 2021. She was previously a Research Fellow at EURECOM, France, and is currently a Research Fellow at the University of Exeter, U.K. Her research focuses on edge AI and AI for communications and networks, supported by funding from EU Horizon, the National Natural Science Foundation of China, and industry partners. She has received four IEEE/ACM Best Paper Awards and serves as an Associate Editor for the IEEE Internet of Things Journal and the IEEE Open Journal of the Communications Society. She has held various organizational roles, including Track, Symposium, Workshop, Publication, and Dissemination Chair or Co-Chair, as well as Technical Program Committee member for multiple IEEE conferences. Dr. Feng has delivered keynote speeches, tutorials, and invited talks at IEEE events and has organized several workshops and symposia on edge computing and AI for communications. She is recognized as a 6G Star Young Scientist and a Marie Skłodowska-Curie Scholar.
Howard H. Yang received his Ph.D. degree in Electrical Engineering from the Singapore University of Technology and Design in 2017 and is currently an Assistant Professor at the ZJU-UIUC Institute, Zhejiang University. He serves as an Editor for IEEE Transactions on Wireless Communications and as Symposium Co-Chair of the IEEE International Conference on Communications 2024. He has organized multiple workshops and special sessions on distributed machine learning at conferences such as IEEE ICASSP, IEEE SECON, IEEE SPAWC, and WiOpt. His honors include the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2023, the IEEE Signal Processing Society Best Paper Award in 2022, and the IEEE WCSP 10-Year Anniversary Excellent Paper Award in 2019. His research spans wireless communications, networking, and signal processing.
Geyong Min is Chair and Director of the High Performance Computing and Networking Research Group at the University of Exeter. His research interests include next-generation Internet technologies, analytical modeling, cloud computing, and big data. His work has been supported by European FP6/FP7 programs, UK EPSRC, the Royal Academy of Engineering, the Royal Society, and industrial partners such as Motorola, IBM, INMARSAT, and InforSense. He has authored over 200 research publications, including books, book chapters, and papers in leading journals and conferences, and has received five IEEE Best Paper Awards. Prof. Min has delivered invited keynote talks at international conferences and serves on the editorial boards of multiple journals. He has chaired or co-chaired numerous international conferences and workshops and has contributed extensively to professional conference committees.
Tony Q. S. Quek received his B.E. and M.E. degrees from Tokyo Institute of Technology and his Ph.D. from the Massachusetts Institute of Technology. He is currently Associate Provost and Cheng Tsang Man Chair Professor at the Singapore University of Technology and Design, as well as an ST Engineering Distinguished Professor. He holds multiple leadership roles at SUTD, including Head of the ISTD Pillar and Director of the Future Communications R&D Programme. His research covers wireless communications, 6G, network intelligence, non-terrestrial networks, and O-RAN. He serves as an Area Editor for IEEE Transactions on Wireless Communications and has previously held editorial roles with several major IEEE journals. His numerous awards include the IEEE William R. Bennett Prize, multiple IEEE best paper awards, and the IEEE Communications Society Wireless Communications Technical Committee Recognition Award. He is a Fellow of IEEE, WWRF, and the Academy of Engineering Singapore, and is the founding Chair of the AI-on-RAN working group in the AI-RAN Alliance.