学术报告
同济大学计算机科学与技术系智信讲坛第(84)期
题目：Shannon Meets Huffman –Huffman Coded Spatial Modulation
报告人：Wei Zhang
时间：2017年1月17日周二上午 10:00
地点：电信楼403
组织单位：计算机科学与技术系
邀请人：吴俊教授
报告人简介：
Dr. Wei Zhang (F’15) 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. He joined the UNSW in 2008 and is currently an Associate Professor at School of Electrical Engineering and Telecommunications. His research interests include cognitive radio, energy harvesting communications, heterogeneous networks and massive MIMO. He has received several awards for his work, including the IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award in 2009, and four best paper awards from international conferences (Globecom2007, WCSP2011, GlobalSIP2014 , ICCC2016).
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 is Vice Director of IEEE Communications Society Asia Pacific Board. He has served as Vice Chair for IEEE Wireless Communications Technical Committee. He is an elected member of SPCOM Technical Committee of IEEE Signal Processing Society. Currently, he serves on the organizing committee of the IEEE APCC 2017 and the IEEE GLOBECOM 2017. He is a Fellow of the IEEE and Fellow of the IET. He is also an IEEE Communications Society Distinguished Lecturer.
内容提要：
Massive MIMO has been viewed as a promisingPHY technical solution for 5G cellular networks. The main challenge of using large number ofantennas is the high cost of radio frequency (RF) chains. Antenna switch enables multiple antennas to share acommon RF chain. In this talk, we present a Huffman coding based adaptive spatial modulation that generalizesboth conventional spatial modulation and transmit antennaselection. Through Huffman coding, the transmit antennas can be activated with differentprobabilities. The optimal antenna activation probability is derived to maximize the Shannon capacity. When the inputis discrete QAM signals, the optimal antenna activation probability isderived through minimizing symbol error rate. Numericalresults show that the proposed Huffman coded spatial modulation offersconsiderable performance gains over conventional spatialmodulation or transmit antenna selection.
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