A Low Complexity Expectation Propagation Detection for Massive MIMO System

Abstract

This paper proposes a low-complexity expectation propagation (EP) algorithm for massive multiple-input multiple-output (MIMO) detections. The original EP detection algorithm shows a near-optimal performance but suffers from the unaffordable computational complexity. In this paper, we use an iterative successive updating scheme to reduce the complexity caused by the exact matrix inversion in each iteration and ameliorate the efficiency and accuracy of messages updating to accelerate the convergence, which leads to a low-complexity high-performance massive MIMO detector. Numerical analysis shows the proposed algorithm can outperform 0.2 dB in bit error rate (BER) with a huge of computational complexity saved compared with the previous EP detector.