Speaker: Prof. Weil Yu

Time and Date: 9:30-11:30 pm, July 03, 2018

Place: Room B415 of Computing Center Building, Handan Campus, Fudan University

Abstract:

Massive multiple-input multiple-output (MIMO) systems have the potential to significantly improve the spectral efficiency of wireless communication systems, but a fully digital baseband implementation of massive MIMO, which requires a separate high­resolution radio-frequency (RF) chain for each antenna, is likely to be impractical due to the cost and power consumption reasons. The first part this talk briefly discusses a two-stage hybrid beamforming structure to reduce the number of RF chains. The overall beamforming matrix consists of analog RF beamforming implemented using phase shifters and baseband digital beamforming of much smaller dimension. The second part of this talk considers the use of low-resolution digital-to-analog converters (DA Cs) for transmit precoding. We formu­late a quadrature amplitude modulation (QAM) constallation range and one-bit symbol-level precoding design problem for minimizing the average symbol error rate. It is shown that a reasonable choice for constellation range with I-bit symbol-level precoding is that of the infinite-resolution precoding with instantaneous power constraint reduced by a factor of 0.8, which translates to about 2dB performance gap. Further, for both single-user and multi-user systems, the proposed one-bit zero-forcing precoding scheme can achieve the same perfor­mance as conventional zero-forcing precoding with infinite resolution precoding by using about 50% more antennas.

Biography:

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. Since 2002, he has been with the Electrical and Computer Engineering Depart­ment at the University of Toronto, Canada, where he is now Professor and holds a Canada Research Chair in Inf om皿ion Theory and Wireless omunications. Prof. Wei Yu currently serves on the IEEE Inf om画on Theory Society Board of Governors. He is currently the Chair of the Signal Processing for Communications and Networking Technical Committee of the IEEE Signal Processing Society. He is an Area Editor for the IEEE Transactions on Wireless Communications (2017-20). Prof. Wei Yu was an IEEE Communications Society Distin­guished Lecturer (2015-16). He received the IEEE Communications Society Best Tutorial Paper Award in 2015, the IEEE Signal Processing Society Best Paper Award in 2008 and 2017, and the Journal of Communications and Networks Best Paper Award in 2017. Prof. Wei Yu is a Fellow of IEEE, a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada, and a Fellow of Canadian Academy of Engineering.