Antenna Hybrid Beamforming Technique in mm-Wave MIMO Systems

This dissertation discusses two strategies to increase the performance of the millimeter wave (mm-Wave) hybrid precoding design Orthogonal Matching Pursuit (OMP) reconstruction algorithm. Power dissipation and hardware complexity are the key issues in these situations, because overcoming high channel path loss needs massive antenna arrays. In addition, the hardware must compute high-dimensional optimum matrices for the design of hybrid precoding. The ideal design of a completely digital precoder example and older systems are used to compare the spectral efficiency of the suggested algorithms in the mmWave system. Despite the decreased complexity of the design, the findings show that the performance characteristics of the suggested algorithms are quite similar to those of the ideal design. Precoding and combining matrix design in millimeter-wave (mmWave) systems hinges on the precise knowledge of Channel State Information (CSI). Nevertheless, this process faces substantial hurdles due to the presence of a large number of antennas, initial low Signal-to-Noise Ratios before beamforming, and the potential for interference from neighboring Base Stations. It's noteworthy that prior research in CSI estimation has predominantly addressed the first two challenges while largely overlooking the issue of inter-symbol interference (ISI). The already poor SNR is harmed by interference from nearby BSs, which also contributes inaccuracies into the channel estimation. This increases the system's interference.