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题目：Blind Interference Alignment with Diversity
Dr. Wei Zhang received the Ph.D. degree in Electronic Engineering from the Chinese University of Hong Kong in 2005. He was a Research Fellow at Hong Kong University of Science & Technology in 2006-2007. His research interests include cognitive radio, energy harvesting communications, heterogeneous networks and massive MIMO. Dr. Zhang is the Editor-in-Chief of IEEE Wireless Communications Letters. He is also the Editor for IEEE Transactions on Communications and for IEEE Transactions on Cognitive Communications and Networking. Previously, he served as Editor for IEEE Transactions on Wireless Communications in 2010-2015 and Editor for IEEE Journal on Selected Areas in Communications (Cognitive Radio Series) in 2012-2014. Dr. Zhang participates actively in committees and conference organization for the IEEE Communications Society and IEEE Signal Processing Society. He has served as Secretary for IEEE Wireless Communications Technical Committee and served on the IEEE ComSoc Asia Pacific Board. He is an elected member of SPCOM Technical Committee of IEEE SP Society. He also serves on the organizing committee of the IEEE ICASSP 2016, Shanghai and the IEEE GLOBECOM 2017, Singapore. He is a Fellow of the IEEE, Fellow of the IET, and IEEE ComSoc Distinguished Lecturer.
Interference alignment has been recently studied as an effective tool to achieve degree of freedom (DoF) of wireless interference channels. DoF is also known as multiplexing gain or capacity pre-log scaling factor and provides a capacity approximation of wireless network in the high signal-to-noise ratio region. However, the interference alignment technique requires precoder design with the channel state information at transmitters (CSIT) so that the interferences can be aligned at receivers. Blind interference alignment can overcome the limitation of full CSIT by adopting pattern reconfigurable antennas at receivers. In this talk, the wireless interference channel is investigated from a different perspective and the diversity benefits of wireless interference channels are explored. A space-time coding approach is designed to achieve high diversity gain and high rate for MISO interference channels with reconfigurable receiver antennas. A family of diversity achieving techniques is proposed with blind interference alignment to accommodate various needs of diversity-rate tradeoff.