Initialization of an Iterative Low-Complexity Method for Signal Precoding in MM-Wave Massive MIMO Systems

In the last few years, huge interest has been directed towards research in wireless communications technology, notably at the level of the recently born massive MIMO systems. In such systems, the function of precoding at the base station (BS) plays a central goal in guaranteeing reliable downlink transmission. This paper aims to suggest a new low complexity linear precoding algorithm that can provide enhanced performance for downlink mm-wave massive MIMO systems. For this end, a first iterative solution is briefly computed by the Jacobi (Jac) method and then provided as an initialization for the known iterative symmetric successive over relaxation (SSOR) algorithm. This developed iterative way reduces the complexity by one order of magnitude compared with that of the zero forcing (ZF) near-optimal precoding, which relies on direct calculation of a large inverse matrix. In addition, to prove the performance of the new proposed Jac-SSOR iterative algorithm compared with its origin versions, some benchmarking simulations have been carried out in adequate typical scenario.