W20 – Workshop on Communication-Computing Co-Design for Energy-Efficient 6G Cloud-Edge Intelligence

Steering Committee:
Yue Gao, Fudan University, China
Zhu Han, University of Houston, USA
Dusit Niyato, Nanyang Technological University, Singapore
Arumugam Nallanathan, Queen Mary University of London, UK
Zhaohui Yang, Zhejiang University, China
Petar Popovski, Aalborg University, Denmark

Co-organizers:
Zihang Song, Aalborg University, Denmark
Tse-Tin Chan, The Education University of Hong Kong, Hong Kong, China
Ming Xiao, KTH Royal Institute of Technology, Sweden
Mengru Wu, Zhejiang University of Technology, China
Stephen Wang, VIAVI Solutions, USA
Wanli Ni, Tsinghua University, China

TPC Co-chairs:
Eva Lagunas, University of Luxembourg, Luxembourg
Biqian Feng, The Education University of Hong Kong, Hong Kong, China
Matteo Zecchin, EURECOM, France
Yi Gong, Southern University of Science and Technology, China
Kai Yu, KTH Royal Institute of Technology, Sweden
Haoyuan Pan, Shenzhen University, China
Qihao Peng, University of Surrey, UK

Abstract: Future 6G wireless networks are expected to support a wide range of intelligent services that rely on the tight integration of communication and computing across devices, edge nodes, and cloud infrastructures. As intelligence moves closer to the network edge, wireless systems face increasing challenges related to energy consumption, latency, and resource limitations. Many platforms, including IoT devices, mobile terminals, aerial platforms, and non-terrestrial nodes, operate under strict power and bandwidth constraints, making energy-efficient system design a fundamental requirement. Recent advances in cloud-edge architectures, multi-access edge computing, and distributed intelligence provide new opportunities to coordinate communication and computation more effectively. Through such co-design, future wireless systems can better balance performance, responsiveness, and energy usage. This workshop aims to bring together researchers and practitioners to discuss architectures, algorithms, and system-level solutions that enable energy-efficient cloud-edge intelligence for 6G wireless networks.

Program:

Workshop Schedule

14:00 – 14:05 | Opening Remarks

14:05 – 14:35 | Keynote Talk 1 Prof. Kaibin Huang (The University of Hong Kong) “Coping with Channel Fading in the Era of Edge AI”

14:35 – 15:05 | Keynote Talk 2 Dr. Vu Nguyen HA (University of Luxembourg) “Semantic Communication-Computing-Learning Co-Design for Energy-Efficient Space-Air-Ground 6G Cloud-Edge Intelligence”

15:05 – 15:30 | Coffee Break

15:30 – 15:50 | Tech Session: Paper 1 Zongyuan Deng, Tianjun Wu, Bin Lyu, Yan Liu, Arumugam Nallanathan  “Dual-Timescale Position Optimization and User Association for Movable-Antenna Systems”

15:50 – 16:10 | Tech Session: Paper 2 Haokai Yang, Xiaolan Liu, Hui Zhou  “Cross-attention Empowered Personalization Federated Learning with Diagnosis Knowledge”

16:10 – 16:30 | Tech Session: Paper 3 Fangyue Shan, Jianxin Dai, Zhaohui Yang, Chen Zhu, Zhouxiang Zhao, Siyun Liang, Yang Sun “‘Computing for Mechanics’: Cross-Scale Joint Spatial-Semantic Optimization for 6G”

16:30 – 16:50 | Tech Session: Paper 4 Sk Md Shafique Anwar, Adarsh Pate “Pilot-Free Data Detection using a Coherent-MAC based Unified Network Coordinator”

16:50 – 17:10 | Tech Session: Paper 5 Changkun Wu, Yisheng Zhao, Ting Li, Shen Zhang, Tao Zhang “Resource Allocation Strategy for MEC-Assisted UWSN in Sea Wave Environments”

17:10 – 17:15 | Wrap-up

 

Co-organizer’s Bios:

Zihang Song:

Zihang Song (Member, IEEE) is a Marie Skłodowska-Curie research fellow at Connectivity (CNT) section, Department of Electronic Devices, Aalborg University, Denmark. He received his B.Sc. and M.Sc. degrees from Beihang University, China in 2016 and 2018, respectively, and the Ph.D. degree in Information and Communication Systems from the University of Surrey, UK, in 2023. He was a research associate at King’s College London, UK from 2023 to 2025. His research spans physical layer signal processing for wireless communication systems, machine learning, neuromorphic computing, with a focus on developing fast and energy-efficient solutions for next-generation networks. He served as session chairs for IEEE ICCC 2025, SPAWC 2024 and AICAS 2024, and TPC of IEEE INFOCOM 2025, and ICCC 2025.

Tse-Tin Chan:

Tse-Tin Chan (Member, IEEE) received the B.Eng. and Ph.D. degrees in information engineering from The Chinese University of Hong Kong (CUHK), Hong Kong, China, in 2014 and 2020, respectively. From 2020 to 2022, he was an Assistant Professor with the Department of Computer Science, The Hang Seng University of Hong Kong (HSUHK), Hong Kong. He is currently an Assistant Professor with the Department of Mathematics and Information Technology, The Education University of Hong Kong (EdUHK), Hong Kong. His research interests include wireless communications and networking, age of information (AoI), and AI-native wireless systems. He has served as a Guest Editor for the IEEE Open Journal of the Communications Society. He has also served on the organizing committees for workshops at IEEE ICC 2026 and IEEE VTC 2026-Spring, and as a TPC member for various flagship conferences such as IEEE ICC and IEEE GLOBECOM.

Ming Xiao:

Ming Xiao received the Ph.D. degree from Chalmers University of Technology, Sweden, in November 2007. Since November 2007, he has been with the Department of Information Science and Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden, where he is currently a professor. He received the IEEE Vehicular Technology Society Best Magazine Paper Award in 2023. He was an Editor of the IEEE Transactions on Communications from 2012 to 2017, and has been an Editor of the IEEE Transactions on Wireless Communications since 2018. He has been an Area Editor of IEEE Open Journal of the Communication Society since 2019. He is in the organizing committee of IEEE ICC 2028, publicity co-chair of IEEE Globecom 2026, and Co-chairs for workshops in IEEE VTC 2025, PIMRC 2025, MeditCom 2025 etc.

Mengru Wu:

Mengru Wu received the Ph.D. degree in communication and information systems from Northeastern University, Shenyang, China, in 2022. She is currently an associate professor with the College of Information Engineering, Zhejiang University of Technology, Hangzhou, China. From 2021 to 2022, she was a Visiting Scholar with the School of Electrical Engineering, Korea University, Seoul, South Korea. Her current research interests include edge intelligence, UAV communications, and deep reinforcement learning for wireless communications. She served as the co-organizer of several workshops at IEEE ICCBDAI 2025, IoTCIT 2025, and NCIC 2025, a session chair at IEEE CIC/ICCC 2025, and a TPC member at IEEE INFOCOM, IEEE Globecom, IEEE ICCC, IEEE VTC, and IEEE WCSP. She is currently an Associate Editor for IEEE Transactions on Vehicular Technology.

Stephen Wang:

Stephen Wang is Managing Director of VIAVI Marconi Labs at VIAVI Solutions and Visiting Professor at King’s College London, UK. He has over 20 years of experience in advanced wireless and ICT industries, leading cross-functional teams on 5G/6G, AI-native networks, non-terrestrial networks, and sensing. His work focuses on innovation strategy, early-stage technology investment, and turning cutting-edge research into deployable products, including VIAVI’s 6G testbed for ISAC, digital twins, and neuromorphic transceivers. He holds a PhD in Electrical and Electronic Engineering from the University of Bristol and an Executive MBA from the University of Cambridge, and is a Fellow of the IET and Chartered Engineer (CEng).

Wanli Ni:

Wanli Ni is currently a Post-doctoral Fellow with the Department of Electronic Engineering, Tsinghua University, China. He received the B.Eng. and Ph.D. degrees from the Beijing University of Posts and Telecommunications, China, in 2018 and 2023, respectively. From 2022 to 2023, he was a Visiting Student at Nanyang Technological University, Singapore. His research interests include federated learning, reconfigurable intelligent surface, semantic communication, and large AI models. He received the National Scholarship twice and was recognized as an IEEE Exemplary Reviewer four times.

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/