Huber Fitting based ADMM Detection for Uplink 5G Massive MIMO Systems

Massive multiple-input multiple-output (Massive MIMO) has been considered as a promising technology to fulfill the requirement of fifth generation (5G) networks. Massive MIMO is designed to provide better throughput and spectral efficiency. However, the major challenge in this system is uplink signal detection which becomes more complicated with a higher number of base station antennas. In this paper, we propose an uplink detection algorithm which is based upon the alternating direction method of multipliers (ADMM) algorithm and Huber fitting. Results through Matlab simulation show that compared to conventional detection algorithms, our proposed algorithm can provide better error rate (BER) performance along with reduced computational complexity. We also improve the convergence rate of the algorithm by using the acceleration method.