Power Optimization and Antenna Selection Techniques for Hybrid Beam forming in MMWAVE Massive MIMO Systems

Abstract

With the advent of massive MIMO and mm Wave, Antenna selection is the new frontier in hybrid
beamforming employed in 5G base stations. Tele-operators are reworking on the components
while upgrading to 5G where the antenna is a last-mile device. The burden on the physical layer
not only demands smart and adaptive antennas but also an intelligent antenna selection
mechanism to reduce power consumption and improve system capacity while degrading the
hardware cost and complexity. This work focuses on reducing the power consumption and finding
the optimal number of RF chains for a given millimeter wave massive MIMO system. At first, we
investigate the power scaling method for both perfect Channel State Information (CSI) and
imperfect CSI where the power is reduced by