Performance Evaluation of Millimeter Wave – MIMO System Based on Hybrid Precoding and Combining

Abstract

In 5G wireless communication network, the mmwave used in most applications to provides high data rates, low latency, high system capacity, and huge available bandwidths, but in multiuser case in mmwave frequency range occurs high path loss and decreasing the system performance. The efficient way to achieve high performance large antenna arrays is hybrid precoding techniques that shall be applied at the base stations (BS) and Mobile Stations (MS). It's found that the full digital precoding with large antenna arrays consumes high power and high hardware cost. In this paper, the current work presents low complexity hybrid precoding and combining techniques with limited feedback system, based on orthogonal matching pursuit (OMP) algorithm for both single and multi-user cases and compared its results with analog only beasm steering. Moreover, the methods have been studied used to describe hybrid precoding technique are Minimum Mean Square Error (MMSE), Zero Forcing (ZF), and analog only beam steering. Simulation results show that the Minimum Mean Square Error (MMSE) precoders performed better than other hybrid precoding approaches. In addition, MMSE hybrid precoding /combining technique offers higher spectral efficiency compared with analog only beam steering with large antennas arrays.