题目：Toward a Many-User Information Theory

时间：6月23日上午11:00

地点：信电楼215报告厅

报告人：Prof. Dongning Guo, Northwestern University

Abstract:

Classical multiuser information theory studies the fundamental limits of models with a fixed (often small) number of users as the coding blocklength goes to infinity. In this talk, I introduce a new regime, where the number of users and the blocklength tend to infinity simultaneously. This paradigm is motivated by systems in which the number of devices is comparable or far exceeds the blocklength, such as in large machine-to-machine communication systems and sensor networks. The focus is on the Gaussian many-access channel, which consists of a single receiver and a massive number of transmitters, where a subset of users transmits in a given block and need to be identified. Since the conventional notion of capacity in bits per channel use is ill-suited for the task, a new notion of capacity is introduced and characterized. Also discussed are many-broadcast channels, lossless many-source coding, and an outlook on a general many-user information theory. This is joint work with Xu Chen, Tsung-Yi Chen.

Biography:

Dongning Guo joined the faculty of Northwestern University, Evanston, IL, in 2004, where he is currently an Associate Professor in the Department of Electrical Engineering and Computer Science. He received the B.Eng. degree from the University of Science & Technology of China, the M.Eng. degree from the National University of Singapore, and the M.A. and Ph.D. degrees from Princeton University, Princeton, NJ. He has been an Associate Editor of IEEE Transactions on Information Theory, an Editor of Foundations and Trends in Communications and Information Theory, and a Guest Editor for the IEEE Journal on Selected Areas in Communications. Dongning Guo received the Huber and Suhner Best Student Paper Award in the International Zurich Seminar on Broadband Communications in 2000 and is a co-recipient of the IEEE Marconi Prize Paper Award in Wireless Communications in 2010. He is also a recipient of the National Science Foundation Faculty Early Career Development (CAREER) Award in 2007. His research interests are in information theory, communications, and networking.