IEEE Winnipeg Section

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IEEE COMMUNICATIONS SOCIETY, Winnipeg Section, and Department of Electrical and Computer Engineering, University of Manitoba, are hosting the following technical seminar.

All are welcome to attend.

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SPEAKER:  Dr. Wei Yu

DATE:    Friday, 24 November 2017

TIME:      2:30 pm

PLACE:     Room E2-160, EITC, University of Manitoba, Fort Garry Campus

ORGANIZER:  IEEE Communications Society (Winnipeg Section)

ENTRANCE FEE: Free

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ABSTRACT:

Massive connectivity is a key requirement for future 5G wireless access. This talk considers a massive device communications scenario 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. For such a system, user activity detection and channel estimation are key issues. This talk first provides an information theoretical analysis for massive connectivity by illustrating how the cost of user identification and channel estimation affects the achievable degree-of-freedom. Next, we present a two-phase framework in which compressed sensing techniques are used in the first phase to identify the devices and their channels, while data transmission takes place in the second phase. We propose the use of approximate message passing (AMP) for device identification and show that state evolution can be used to analytically characterize the missed detection and false alarm probabilities in AMP. 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 rate. We quantify this effect and characterize the optimal pilot length for massive uncoordinated device access.

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BIOGRAPHY OF THE PRESENTER:

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 (2015-17). He served as an Associate Editor for the IEEE Transactions on Information Theory (2010-2013), and currently serves as an Area Editor for the IEEE Transactions on Wireless Communications. He currently chairs the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. Prof. Wei Yu received a Journal of Communications and Networks Best Paper Award in 2017, a Steacie Memorial Fellowship in 2015, an IEEE Communications Society Best Tutorial Paper Award in 2015, an IEEE ICC Best Paper Award in 2013, an IEEE Signal Processing Society Best Paper Award in 2008, and an Early Career Teaching Award from the Faculty of Applied Science and Engineering, University of Toronto in 2007. He is recognized as a Highly Cited Researcher. Prof. Wei Yu is a Fellow of IEEE and a Fellow of Canadian Academy of Engineering.

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For additional information, please contact:

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Jun Cai, Ph.D., P.Eng.

Chair, IEEE Communications Society Chapter, IEEE Winnipeg Section

Associate Professor

Department of Electrical and Computer Engineering

University of Manitoba

Winnipeg, MB Canada R3T 5V6

Email: jun.cai@umanitoba.ca

Telephone: 1-204-4746419

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