Block Gauss-Seidel Method for Signal Detection in Uplink Massive MIMO Systems

Minimum mean square error (MMSE) detection algorithm is near-optimal for uplink massive MIMO systems, but it involves matrix inversion with high complexity. Thus, the conventional Gauss-Seidel (GS) method has been applied for obtain a low-complexity MMSE detector without employing the computationally intensive matrix inversion. In this paper, we propose an improving GS method for the conventional GS method based on block matrix in order to reduce complexity and accelerate the convergence rate. Simulation results show that the proposed algorithm can closely match the performance of the MMSE algorithm with few numbers of iterations. It also outperforms GS method in terms of bit error rate (BER) performance with same number of iterations.