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Improving Expectation Propagation with Lattice Reduction for Massive MIMO Detection 被引量:5

Improving Expectation Propagation with Lattice Reduction for Massive MIMO Detection
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摘要 Efficient massive MIMO detection for practical deployment, which is with spatially correlated channel and high-order modulation, is a challenging topic for the fifth generation mobile communication(5 G). In this paper, we propose a lattice reduction aided expectation propagation(LRA-EP) algorithm for massive MIMO detection. LRA-EP applies expectation propagation in lattice reduced MIMO system to approach the distribution of lattice reduced constellation point by iterative refinement on its parameters(mean and covariance). The parameter refinement is based on the lattice reduced, well-conditioned MIMO channel. Numerical result shows that LRA-EP outperforms classic EP based MIMO detection(EPD) with 5~7 dB in terms of required signalto-noise ratio(SNR) for 1% packet error rate in spatially correlated channel for 256-QAM. We also show that LRA-EP has lower computation complexity than EPD. Efficient massive MIMO detection for practical deployment, which is with spatially correlated channel and high-order modulation, is a challenging topic for the fifth generation mobile communication(5 G). In this paper, we propose a lattice reduction aided expectation propagation(LRA-EP) algorithm for massive MIMO detection. LRA-EP applies expectation propagation in lattice reduced MIMO system to approach the distribution of lattice reduced constellation point by iterative refinement on its parameters(mean and covariance). The parameter refinement is based on the lattice reduced, well-conditioned MIMO channel. Numerical result shows that LRA-EP outperforms classic EP based MIMO detection(EPD) with 5~7 dB in terms of required signalto-noise ratio(SNR) for 1% packet error rate in spatially correlated channel for 256-QAM. We also show that LRA-EP has lower computation complexity than EPD.
出处 《China Communications》 SCIE CSCD 2018年第12期49-54,共6页 中国通信(英文版)
关键词 MIMO detection LATTICE REDUCTION EXPECTATION PROPAGATION MASSIVE MIMO MIMO detection lattice reduction expectation propagation massive MIMO
作者简介 Corresponding author:Senjie Zhang,received his B.S.degree from Beijing University of Posts and Telecommunications,Beijing,China in 2001 and the M.S.E.degree from Tsinghua University,Beijing,China in 2004.He is currently a senior research scientist in Intel Labs China and pursuing the Ph.D.degree with Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing,China.His current research interest is signal processing and mobile communications.Email:senjie.zhang@bupt.edu.cn;Shi Jin,received the B.S.degree in communications engineering from Guilin University of Electronic Technology,Guilin,China,in 1996,the M.S.degree from Nanjing University of Posts and Telecommunications,Nanjing,China,in 2003,and the Ph.D.degree in information and communications engineering from the Southeast University,Nanjing,in 2007.From June 2007 to October 2009,he was a Research Fellow with the Adastral Park Research Campus,University College London,London,U.K.He is currently with the faculty of the National Mobile Communications Research Laboratory,Southeast University.His research interests include space time wireless communications,random matrix theory,and information theory.He serves as an Associate Editor for the IEEE Transactions on Wireless Communications,and IEEE Communications Letters,and IET Communications.Dr.Jin and his co-authors have been awarded the 2011 IEEE Communications Society Stephen O.Rice Prize Paper Award in the field of communication theory and a 2010 Young Author Best Paper Award by the IEEE Signal Processing Society.Email:jinshi@seu.edu.cn;Chao-Kai Wen,received the Ph.D.degree from the Institute of Communications Engineering,National Tsing Hua University,Taiwan,China in 2004.He was with Industrial Technology Research Institute,Hsinchu,Taiwan,China and MediaTek Inc.,Hsinchu,Taiwan,China,from 2004 to 2009.He is currently an Associate Professor of the Institute of Communications Engineering,National Sun Yat-sen University,Kaohsiung,Taiwan,China.His research interests center around the optimization in wireless multimedia networks;Zhiqiang He,received the B.E.degree and Ph.D.degree(with distinction)from Beijing University of Posts and Telecommunications,China,all in signal and information processing,in 1999 and 2004,respectively.Since July 2004,he has been with the School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,where he is currently a professor and the director of the Center of Information Theory and Technology.His research interests include signal and information processing in wireless communications,networking architecture and protocol design,machine learning and underwater acoustic communications.
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