To meet the service requirements of the emerging applications such as extended reality, 8K ultra-high definition video transmission and industrial Internet of Things in terms of massive user access, heterogeneous mobile traffic processing, ultra-low latency, ultra-high reliability and other aspects, cloud-edge-terminal collaboration, as the core of distributed clouds, has been increasingly concerned and risen to the height of national development strategy. At present, the problem on cooperative allocation and optimization of cloud-edge-terminal resources is still in the initial research stage, which makes it difficult to adaptively guarantee the differentiated service requirements of network business. Therefore, by fully considering research methodologies of cloud computing and fog computing, it is urgent to carry out the research on bidirectional collaboration and intelligent optimization technologies of cloud-edge-terminal resources driven by complex dynamic services from the perspective of cross-layer and cross-domain cooperations

Topics:

1. Cloud-edge-terminal computing
2. Cross-layer resource allocation and communication
3. Cross-domain resource allocation and communication
4. Intelligent network control
5. Next generation multiple access
6. Reconfigurable intelligent surface
7. AI in wireless communication networks

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Prof. Chao Fang, Beijing University of Technology, China

Chao Fang received his B.S degree in Information Engineering from Wuhan University of Technology, Wuhan, China, in 2009, and the Ph.D. degree with the State Key Laboratory of Networking and Switching Technology in Information and Communication Engineering from Beijing University of Posts and Te4lecommunications, Beijing, China, in 2015. He joined the Beijing University of Technology in 2016 and now is an associate professor. From August 2013 to August 2014, he had been funded by China Scholarship Council to visit Carleton University, Ottawa, ON, Canada, as a joint doctorate. Moreover, he is the visiting scholars of University of Technology Sydney, Commonwealth Scientific and Industrial Research Organization, Hong Kong Polytechnic University, Kyoto University, Muroran Institute of Technology, and Queen Mary University of London. Dr. Fang is the senior member of IEEE, and the vice chair of technical affairs committee in IEEE ComSoc Asia/Pacific Region (2022-2023). Moreover, he served as the Technical Program Committee Chair of SPCNC 2024, the Session Chairs of ICC 2015, ICCC 2023, and WCNC 2024, Workshop Chairs of ICFEICT (2022-2024) and ICNCIC (2023-2024), and Poster Co-Chair of HotICN 2018. He won the Best Paper Award of IEEE ICFEICT 2022 and 2024, ICCSN 2024, and NCIC 2024. His current research interests include future networks, intelligent cloud-edge-terminal cooperation computing, and intelligent network control.

Prof. Zhenzhou Wang, Hebei University of Science and Technology, China

Zhenzhou Wang received his Ph.D. in Electrical Engineering from North China Electric Power University in 2009. He is currently a Professor and Vice Dean at the College of Information Science and Engineering, Hebei University of Science and Technology. He serves as a Council Member of the Chinese Association for Artificial Intelligence and Vice Chair of the Information System Integration and Service Committee of Hebei Electronic Society. His research interests include signal detection, machine vision, intelligent driving assistance, and intelligent manufacturing. He has published over 100 papers (including 30+ SCI/EI-indexed) and holds more than 10 invention patents. He has presided over multiple national/provincial projects, including a National Key R&D Program project, and actively engages in academic services for international conferences.