Academic report of Canadian Academy of Engineering, IEEE Fellow, Wei Yu, University of Toronto

Source:SIST  Author:Yan Jiang  Date:2018-12-25  Click:83

Innovative Source Lecture Hall, Southwest Jiaotong University


Lecture Series: Frontiers in Wireless Communications & Information Coding


 (Title):  Sparse Activity Detection for Massive Random Access with Massive MIMO

 (Speaker): Professor Wei Yu, Toronto University, Canada

 (Time)19 December 2018, 2:30-3:30pm (Wednesday)

 (Venue)Room X9322, Xipu Campus, SWJTU 

 (Chair):  Professor FAN, Pingzhi


Outline of the Talk:

Sparse Activity Detection for Massive Random Access with Massive MIMO  

This talk considers a massive device activity detection problem in which a large number of devices need to connect to a base-station, but user traffic is sporadic so that at any given coherence time only a subset of users are active. We make an observation that in the massive multiple-input multiple-output (MIMO) regime, where the BS is equipped with a large number of antennas, a covariance based scheme that solves a maximum likelihood estimation problem for detecting the device activity, is more effective than the approximate message passing (AMP) based compressed sensing approach that tries to both detect the device activities and estimate the channels. We then provide an analytic framework capable of accurately predicting the performance of the covariance based scheme in terms of the probabilities of false alarm and missed detection, and further show that the method can be used for a joint user activity and data detection problem for massive machine-type communications.

 (Short Biography of the Speaker):







Wei Yu received the B.A.Sc. degree in Computer Engineering and Mathematics from the University of Waterloo, Waterloo, Ontario, Canada in 1997 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University, Stanford, CA, in 1998 and 2002, respectively. He is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications in the Electrical and Computer Engineering Department at the University of Toronto, Canada.  Prof. Wei Yu currently serves on the IEEE Information Theory Society Board of Governors. He was an IEEE Communications Society Distinguished Lecturer (2015-16), and currently is an Area Editor for the IEEE Transactions on Wireless Communications. He chairs the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society (2017-18). Prof. Wei Yu received the IEEE Signal Processing Society Best Paper Award in 2017 and 2008, the Journal of Communications and Networks Best Paper Award in 2017, an IEEE Communications Society Best Tutorial Paper Award in 2015, and an ICC Best Paper Award in 2013. Prof. Wei Yu is recognized as a Highly Cited Researcher. He is a Fellow of IEEE and a Fellow of Canadian Academy of Engineering.