A Low-Complexity Signal Detection Utilizing AOR Iterative Method for Massive MIMO Systems

摘要

Massive multiple-input multi-ple-output (MIMO) system is capable of sub-stantially improving the spectral efficiency as well as the capacity of wireless networks relying on equipping a large number of anten-na elements at the base stations. However, the excessively high computational complexity of the signal detection in massive MIMO systems imposes a significant challenge for practical hardware implementations. In this paper, we propose a novel minimum mean square error (MMSE) signal detection using the acceler-ated overrelaxation (AOR) iterative method without complicated matrix inversion, which is capable of reducing the overall complexity of the classical MMSE algorithm by an order of magnitude. Simulation results show that the proposed AOR-based method can approach the conventional MMSE signal detection with significant complexity reduction.