Approximate Matrix Inversion Methods vs. Approximate Message Passing (AMP) for massive MIMO Detectors

Massive multiple-input multiple-output (MIMO) is a promising technology to support high data rate in fifth generation (5G) wireless communications system. Design of massive MIMO detector is not a trivial task due to a large number of antennas. This paper studies a detector based on approximate matrix inversion methods, namely, the Gauss-Seidel (GS), the successive over relaxation (SOR), and the approximate message passing (AMP) algorithm. Numerical results show that a detector based on approximate matrix inversion methods outperforms the detector based on the AMP algorithm. In addition, the convergence rate of the AMP based detector is higher than others and it also requires less processing time compared to the GS and the SOR methods.