A Novel Iterative Discrete Estimation Algorithm for Low-Complexity Signal Detection in Uplink Massive MIMO Systems

Electronics

Hui Feng¹  Song Xing²  Zhengquan Li³  Xiaoqing Zhao³ 

[1] Department of Electronic Science and Technology, Tongji University, Shanghai 201804, China;Department of Information Systems, California State University, Los Angeles, CA 90032, USA;Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi 214122, China;

关键词: massive MIMO systems;    MIDE algorithm;    low computational complexity;    BER;   

DOI  :  10.3390/electronics8090980

来源: DOAJ

【 摘 要 】

In this paper, a novel iterative discrete estimation (IDE) algorithm, which is called the modified IDE (MIDE), is proposed to reduce the computational complexity in MIMO detection in uplink massive MIMO systems. MIDE is a revision of the alternating direction method of multipliers (ADMM)-based algorithm, in which a self-updating method is designed with the damping factor estimated and updated at each iteration based on the Euclidean distance between the iterative solutions of the IDE-based algorithm in order to accelerate the algorithm’s convergence. Compared to the existing ADMM-based detection algorithm, the overall computational complexity of the proposed MIDE algorithm is reduced from $O\left(N_t^3\right)+O\left(N_r{N}_t^2\right)$ to $O\left(N_t^2\right)+O\left(N_r{N}_t\right)$ in terms of the number of complex-valued multiplications, where Ntand Nr are the number of users and the number of receiving antennas at the base station (BS), respectively. Simulation results show that the proposed MIDE algorithm performs better in terms of the bit error rate (BER) than some recently-proposed approximation algorithms in MIMO detection of uplink massive MIMO systems.

【 授权许可】

Unknown