講座時間：2023年9月7日（周四）15:00-16:30

講座地點：西土城校區教2樓-306

主讲人：Celimuge Wu教授

主持人：路兆銘副教授

Celimuge Wu,Meta-Networking Research Center, The University of Electro-Communications

celimuge@uec.ac.jp

This talk introduces Meta-networking: a revolutionary networking architecture that transmits beyond the Shannon capacity of communication channels by improving the information density in the network with collaboration among distributed network entities based on efficient service classification and data feature extraction. An overview of Meta-Networking is provided and the key principles and components of Meta-Networking, including the quality-of-experience characterization, AI-empowered semantic encoding, and information density improvement, are analyzed. It enables a groundbreaking communication system where a much larger amount of information is transmitted without increasing the size of binary digits. Furthermore, an application scenario for image transmission in the Internet of Vehicles is discussed, which shows significant performance improvement compared with conventional communications. It is believed that Meta-Networking has the potential for revolutionizing communication systems with higher efficiency, stronger reliability, and intelligence awareness.

Bio:

Celimuge Wu received his PhD degree from The University of Electro-Communications, Japan. He is currently a professor andthe director of Meta-Networking Research Center, The University of Electro-Communications. His research interests include Vehicular Networks, Edge Computing, IoT, Intelligent Transport Systems, and AI for Wireless Networking and Computing. He serves as an associate editor of IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Network Science and Engineering, and IEEE Transactions on Green Communications and Networking. He is Vice Chair (Asia Pacific) of IEEE Technical Committee on Big Data (TCBD), and the chair of IEEE TCGCC Special Interest Group on Green Internet of Vehicles. He is a recipient of 2021 IEEE Communications Society Outstanding Paper Award, 2021 IEEE Internet of Things Journal Best Paper Award, IEEE Computer Society 2020 Best Paper Award and IEEE Computer Society 2019 Best Paper Award Runner-Up. He is an IEEE Vehicular Technology Society Distinguished Lecturer.