演講題目：Massive Random Access with Massive MIMO

演講者：Prof. Wei Yu (University of Toronto)

時間：10:30~12:00, 2024/1/16 (Tuesday)

地點：清華大學台達館304室 (Delta Building R304, NTHU)

ABSTRACT
Massive random access for machine-type communications is one of the key use cases for future 5G/6G cellular communication networks. In this talk, I will describe the system model, problem formulation, algorithmic development, and performance analysis for the massive connectivity scenarios in which a large number of potential devices communicate with a base-station but with sporadic traffic. First, we show that the problem of detecting the device activity patterns together with estimating the channels can be formulated as a compressed sensing problem, which can be solved using an approximate message passing (AMP) algorithm. Alternatively, if we do not need to estimate the channels, it is possible to take advantage of channel hardening in the massive MIMO regime and to use a covariance-based approach to detect the device activities with much fewer pilots. Finally, we compare with the classic carrier-sensing multiple access and illustrate how feedback can significantly improve the design of the overall massive random access scheme.

BIOGRAPHY
Wei Yu is a Professor in the Electrical and Computer Engineering Department at the University of Toronto, where he holds a Canada Research Chair in Information Theory and Wireless Communications. He received a Ph.D. degree in Electrical Engineering from Stanford University. He is a Fellow of the IEEE and a Fellow of the Canadian Academy of Engineering. He received the Steacie Memorial Fellowship in 2015, the IEEE Marconi Prize Paper Award in Wireless Communications in 2019, the IEEE Communications Society Award for Advances in Communication in 2019, the IEEE Signal Processing Society Best Paper Award in 2008, 2017 and 2021, and the IEEE Communications Society Best Tutorial Paper Award in 2015. Prof. Wei Yu served as the President of the IEEE Information Theory Society in 2021.