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(September 27)Shannon Meets Huffman – Huffman Coded Spatial Modulation
Sep 22, 2016


Shannon  Meets Huffman – Huffman Coded Spatial Modulation




9:00, September 27,  2016


1012, New Science & Technology Building, North Campus

Lecturer  Profile

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,  ICCC 2016).  Dr. Zhang is the Editor-in-Chief of IEEE Wireless  Communications Letters. He is also the Editor for IEEE TCom and for IEEE TCCN.  Previously, he served as Editor for IEEE TWC in 2010-2015 and for IEEE JSAC in  2012-2014. Dr. Zhang is Vice Director of IEEE Communications Society Asia  Pacific Board. He has served as Secretary for IEEE Wireless Communications  Technical Committee. He is an elected member of SPCOM Technical Committee of  IEEE Signal Processing 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 and Fellow of the IET. He is also an IEEE Communications  Society Distinguished Lecturer.

Lecture  Abstract

Massive  MIMO has been viewed as a promising PHY technical solution for 5G cellular  networks. The main challenge of using large number of antennas is the high cost  of radio frequency (RF) chains. Antenna switch enables multiple antennas to  share a common RF chain. It also offers an additional spatial dimension, i.e.,  antenna index, which can be utilized for data transmission via both signal  space and spatial dimension. In this talk, we present a Huffman coding based  adaptive spatial modulation that generalizes both conventional spatial modulation  and transmit antenna selection. Through Huffman coding, the transmit antennas  can be activated with different probabilities. The optimal antenna activation  probability is derived to maximize the Shannon capacity. When the input is  discrete QAM signals, the optimal antenna activation probability is derived  through minimizing symbol error rate. Numerical results show that the proposed  Huffman coded spatial modulation offers considerable performance gains over  conventional spatial modulation or transmit antenna selection.

Previous:(October 3)Next-to-Nearest Neighbour Couplings And Entanglement Generation in Spin Chains and Optical Arrays
Next:(September 26)Summarizing Uncertain Transaction Databases by Probabilistic Tiles

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