A Review: Hybrid Beamforming for Massive MIMO

Abstract

The goal of 5G and beyond 5G wireless networks is to provide users with faster data transfer rates and reduced latency. The rapid evolution of communication has stimulated the study of Multiple Input Multiple Output (MIMO) systems in response to the resulting data load. Both the sender and the receiver use a wide range of antenna types. To achieve fast and reliable communication, it is necessary to improve present technology. To improve the system's spectral efficiency, this study proposes using antenna-based hybrid beamforming in a large MIMO model. As a result, we use channel constraints with limited RF channels. Chebyshev tapering has been used to dampen the signals from the side lobes so that the major curve may have a strong signal. The suggested Hybrid Beamforming for Massive Output MIMO therefore achieves both lower complexity and greater spectrum efficiency. Both Hybrid and completely digital beamforming have been suggested in this study, with varying numbers of radio frequency (RF) chains for varying numbers of antennas on the transmitter and reception sides, respectively. Results from the simulation show that the proposed antenna-based Hybrid beamforming in a massive MIMO system can reduce computational complexity by as much as 98% compared to conventional fully digital beamforming while still achieving the same or better spectral efficiencies, making it a promising model for 5G wireless networks.

Keywords: 5G wireless networks, Massive MIMO, Hybrid beamforming, spectral efficiency