Approximate Iteration Detection and Precoding in Massive MIMO

作     者：Chuan Tang Yerong Tao Yancang Chen Cang Liu Luechao Yuan Zuocheng Xing 

作者机构：Luoyang Electronic Equipment Test CenterLuoYang 471000China National Laboratory for Parallel and Distributed ProcessingNational University of Defense TechnologyChangsha 410073China 

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

年 卷 期：2018年第15卷第5期

页      面：183-196页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：National Defense National Natural Science Foundation of China 

主　　题：massive MIMO detection and precoding matrix inversion iteration refinement soft Viterbi decoding 

摘      要：Massive multiple-input multiple-output provides improved energy efficiency and spectral efficiency in 5 G. However it requires large-scale matrix computation with tremendous complexity, especially for data detection and precoding. Recently, many detection and precoding methods were proposed using approximate iteration methods, which meet the demand of precision with low complexity. In this paper, we compare these approximate iteration methods in precision and complexity, and then improve these methods with iteration refinement at the cost of little complexity and no extra hardware resource. By derivation, our proposal is a combination of three approximate iteration methods in essence and provides remarkable precision improvement on desired vectors. The results show that our proposal provides 27%-83% normalized mean-squared error improvement of the detection symbol vector and precoding symbol vector. Moreover, we find the bit-error rate is mainly controlled by soft-input soft-output Viterbi decoding when using approximate iteration methods. Further, only considering the effect on soft-input soft-output Viterbi decoding, the simulation results show that using a rough estimation for the filter matrix of minimum mean square error detection to calculating log-likelihood ratio could provideenough good bit-error rate performance, especially when the ratio of base station antennas number and the users number is not too large.