Fast matrix inversion based on Chebyshev acceleration for linear detection in massive MIMO systems

Summary: This paper proposes a low complexity signal detection algorithm based on the modified accelerated overrelaxation (MAOR) method for the fifth generation (5G) baseband receiver in massive multiple-input multiple-output (MIMO) systems. This method iteratively approaches the performance of the linear minimum mean square error (MMSE) detection and enhances the performance of the algorithm using the Chebyshev polynomial acceleration technique. Experimental results show that the proposed method outperforms other state-of-the-art detection algorithms in terms of convergence speed and performance.