Abstract
Multiple-input Multiple-output (MIMO) technology uses multiple transmitter and receiver antennas for improving throughput and coverage. Massive MIMO is an advancement of MIMO technology that utilizes large numbers of antenna terminals at both transmitter and receiver to provide high spectral efficiency with simple processing. Massive MIMO today has become a captivating technology for future generation networks. Traditional linear, non-linear, and iterative uplink signal detection algorithms for massive MIMO systems do not provide optimal performance, and are computationally inefficient. This paper proposes a fast-convergent detector for massive MIMO systems based on the refinement of the Jacobi iterative method. The proposed algorithm utilizes a novel initialization matrix and a successive over-relaxation (SOR) preconditioner to enhance the convergence of the proposed method. The numerical results verify the optimal error and complexity performance of the proposed algorithm for uplink signal detection in massive MIMO systems.
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