2 x 2 Hybrid Beamforming MIMO System for Millimeter Wave Communication

Abstract

The increase in growing traffic explosion in wireless communication system has recently drawn great attention to the large amount of underutilized spectrum is millimetre wave (mmWave) communication system as a potential candidate. Beamforming (BF) is an efficient technique to increase the capacity of the wireless communication systems. We proposed an efficient and less complex novel hybrid beamforming technique to maximize the channel capacity for large scale antenna system. A large number of transmit and receive antennas are partitioned into two BF groups. The optimal BF vectors of the groups are found to maximize the channel capacity in a mmWave channel. The algorithm is based on calculating the transmit and receive BF vectors for the partitioned antennas group, which focused on optimizing the BF vectors alternatively at the transmitter and receiver. The algorithm aims at maximizing the product of the dominant singular values of the partitioned channel matrices, thus maximizing the determinant of the 2 × 2 large scale MIMO system and eventually results in increase capacity of the system. The effectiveness of the beamforming algorithm is verified by extensive simulation results. Simulation results show considerable increase in the capacity of the system at high signal to noise ratio (SNR).