Improving Expectation Propagation with Lattice Reduction for Massive MIMO Detection

作     者：Senjie Zhang Shi Jin Chao-Kai Wen Zhiqiang He 

作者机构：Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications National Mobile Communications Research Laboratory Southeast University Institute of Communications Engineering Sun Yat-sen University 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2018年第15卷第12期

页      面：49-54页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：MIMO detection lattice reduction expectation propagation massive MIMO 

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.