Hybrid Beamforming for Large Antenna Arrays with Phase Shifter Selection
Sohail Payami, Mir Ghoraishi, and Mehrdad Dianati

TL;DR
This paper introduces an asymptotically optimal hybrid beamforming method for large antenna arrays, utilizing phase shifter selection to improve spectral efficiency and reduce power consumption in Rayleigh fading channels.
Contribution
It presents a novel hybrid beamforming algorithm with phase shifter selection, achieving near-optimal performance and energy savings in large antenna array systems.
Findings
Performance with >2-bit phase shifters is comparable to analog phase shifters.
Spectral efficiency increases when up to 50% of phase shifters are turned off.
The proposed method is effective in both sparse and rich propagation environments.
Abstract
This paper proposes an asymptotically optimal hybrid beamforming solution for large antenna arrays by exploiting the properties of the singular vectors of the channel matrix. It is shown that the elements of the channel matrix with Rayleigh fading follow a normal distribution when large antenna arrays are employed. The proposed beamforming algorithm is effective in both sparse and rich propagation environments, and is applicable for both point-to-point and multiuser scenarios. In addition, a closed-form expression and a lower-bound for the achievable rates are derived when analog and digital phase shifters are employed. It is shown that the performance of the hybrid beamformers using phase shifters with more than 2-bits resolution is comparable with analog phase shifting. A novel phase shifter selection scheme that reduces the power consumption at the phase shifter network is proposed…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Optimization · Millimeter-Wave Propagation and Modeling
