演講題目：Sporadic Device Activity Detection for Massive Connectivity

演  講  者：Prof. Wei Yu(University of Toronto)

時　　間：2019/1/28 (Mon.) 10:00~11:00

地　　點：清華大學台達館304室

ABSTRACT:

In this talk, we examine the role of non-orthogonal multiple-access for a massive device communication scenario in which a large number of devices need to connect to an access-point, but user traffic is sporadic so that at any given time only a subset of users are active. For such a system, user activity detection and channel estimation are key issues. This talk discusses the role of compressed sensing techniques for joint device activity detection and channel estimation, and characterizes the detection and data transmission performance of an approximate message passing (AMP) based device identification method. This talk further considers the massive connectivity problem in the massive MIMO regime. We analytically show that massive MIMO can significantly enhance user activity detection, but the non-orthogonality of pilot sequences can nevertheless introduce significant channel estimation error, hence limiting the overall transmission rate. We quantify this effect and characterize the optimal pilot length for massive uncoordinated device access.

BIOGRAPHY  

Wei Yu (S'97-M'02-SM'08-F’14) 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. Since 2002, he has been with the Electrical and Computer Engineering Department at the University of Toronto, Toronto, Ontario, Canada, where he is now Professor and holds a Canada Research Chair (Tier 1) in Information Theory and Wireless Communications. His main research interests include information theory, optimization, wireless communications and broadband access networks.

Prof. Wei Yu currently serves on the IEEE Information Theory Society Board of Governors (2015-20). He was an IEEE Communications Society Distinguished Lecturer (2015-16). He serves as an Area Editor for the IEEE Transactions on Wireless Communications (2017-20). He served as an Associate Editor for IEEE Transactions on Information Theory (2010-2013), as an Editor for IEEE Transactions on Communications (2009-2011), as an Editor (2004-2007) for IEEE Transactions on Wireless Communications, and as a Guest Editor for a number of special issues for the IEEE Journal on Selected Areas in Communications and the EURASIP Journal on Applied Signal Processing. He was a Technical Program co-chair of the IEEE Communication Theory Workshop in 2014, and a Technical Program Committee co-chair of the Communication Theory Symposium at the IEEE International Conference on Communications (ICC) in 2012. He is currently the Chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society (2017-18) and served as a member in 2008-2013. 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 E.W.R. Steacie Memorial Fellowship in 2015, an IEEE Communications Society Best Tutorial Paper Award in 2015, an IEEE ICC Best Paper Award in 2013, the McCharles Prize for Early Career Research Distinction in 2008, the Early Career Teaching Award from the Faculty of Applied Science and Engineering, University of Toronto in 2007, and an Early Researcher Award from Ontario in 2006. He is recognized as a Highly Cited Researcher.

Prof. Wei Yu is a Fellow of IEEE and a Fellow of Canadian Academy of Engineering. He is a member of the Royal Society of Canada's College of New Scholars, Artists and Scientists. He is a registered Professional Engineer in Ontario.