Low complexity signal detector based on SSOR method for massive MIMO systems

For massive MIMO systems, linear signal detectors, such as zero forcing (ZF) signal detector, can achieve the near-optimal performance, but usually involve high complexity due to the required matrix inversion of large size. In this paper, we propose a signal detector based on symmetric successive over-relaxation (SSOR) method without matrix inversion, which can reduce the complexity by one order of magnitude. To guarantee the performance of SSOR-based signal detector in practice, we also propose a simple quantified relaxation parameter for SSOR-based signal detector, which only depends on the MIMO system configuration. Analysis verifies that the proposed SSOR-based signal detector can reduce the complexity of ZF signal detector by about one order of magnitude. Meanwhile, simulation results show that SSOR-based signal detector can achieve the near-optimal performance of ZF signal detector with only a small number of iterations.