Hybrid Beamforming for Millimeter Wave Massive MIMO under Hardware Impairments and Imperfect Channel State Information

Deploying fully digital beam-forming architecture with large number of arrays increases cost and power consumption of millimeter wave Massive Multiple Input Multiple Output (Massive MIMO) systems in 5G, which have as of late helped the interest for hybrid beam-forming solutions. However, the impact of nonideal conditions: hardware impairments and Imperfect Channel State Information (ICSI) under multi user scenario has not been intensively studied in millimeter wave Massive Multiple Input Multiple Output (Massive MIMO) hybrid beamformers. Moreover, joint hardware and Channel State Information (CSI) impact on affordable complexity precoders or combiners under multi user scenario has not been adequately addressed. In this research work, the impact of joint hardware impairments and imperfect channel state information under multi user scenario on affordable complexity beamformer has been investigated. The simulation results generated using MATLAB software depict joint hardware impairments, and imperfect channel state information significantly reduce the spectral efficiency (SE) of the affordable complexity beamformer. In particular, it has been shown that the spectral efficiency affected less when transmitting antennas increase and the number of users decrease taking into account the joint hardware impairments, and imperfect channel State Information.