國立清華大學資訊工程學系

Department of Computer Science

National Tsing Hua University

專題演講

SEMINAR

主講人：林士鈞 教授 (Dr. Shih-Chun Lin) Assistant Professor

SPEAKER : North Carolina State University Department of Electrical and Computer Engineering iWN (Intelligent Wireless Networking) Lab

題　目：Machine Learning in 6G Networks and Deployment Case

 TOPIC  

時  間：110年1月4日(一)下午2點至3點30分

DATE　　

地　點：台達館615教室

PLACE

Abstract:

    Next-generation wireless systems aim at achieving primary communication KPIs to support various services. Wireless technologies require revolutionary breakthroughs within significant research thrusts to meet demanding KPIs. However, such highly complex systems incur the inefficiency of classical model-based optimization approaches. Recently emerged machine learning (ML)-based approaches can learn to perform a task from raw sensory input and become a promising enabler that intelligently manages the growing complexity and scale of wireless systems for the quality-of-service requirements. Still, realizing these data-driven approaches has its limitation due to wireless networks' unique challenges, which should be addressed in detail when developing future network architectures.

    This talk presents emerging and key technological aspects of a new distributed computing architecture that synergizes data-driven ML methods and model-based network stacks to achieve scalable and efficient communication, networking, and learning for 6G networks. This research takes a system-level perspective and proposes ML-enabled adaptive optimization for wireless edge networks, extended from our 5G software-defined networking architecture. It is further demonstrated how this new architecture can be deployed to realize ultra-low latency mobile networking for massive autonomous vehicles, non-terrestrial 6G networks, and other industry verticals.

Biography

   Dr. Shih-Chun Lin is an Assistant Professor also the Director of the Intelligent Wireless Networking (iWN) Laboratory in the Electrical & Computer Engineering Department at the North Carolina State University, USA. He received his B.S. degree in electrical engineering and M.S. degree in communication engineering from National Taiwan University; and a Ph.D. degree in electrical and computer engineering from Georgia Institute of Technology, Atlanta, USA, in 2017. His research interests include wireless software-defined architecture, mobile edge computing and the AIoT, machine learning and mathematical optimization, traffic engineering, and performance evaluation. He has published more than 45 peer-reviewed papers and holds ten U.S. patents.

    As a pioneer of using SDN models for wireless system management, Dr. Lin has been invited to demonstrate AI-based RF analytic with SDR-SDN architecture in the Beyond 5G SDR University Showcase by Air Force Research Laboratory (AFRL) and leads a project of distributed machine learning supported by Cisco Systems. He is also co-leading another project funded by the North Carolina Department of Transportation (NCDOT), which establishes low-latency edge computing infrastructure for connected and autonomous vehicle deployment and the adoption of advanced transportation technologies.

   聯絡人：許健平 教授