On the Power Leakage Problem in Millimeter-Wave Massive MIMO with Lens Antenna Arrays
Tian Xie, Linglong Dai, Derrick Wing Kwan Ng, Chan-Byoung Chae

TL;DR
This paper addresses the power leakage issue in millimeter-wave massive MIMO with lens antenna arrays, proposing a beam aligning precoding method that improves SNR and energy efficiency in beamspace channels.
Contribution
It introduces a phase shifter network structure and a rotation-based precoding algorithm to mitigate power leakage in beamspace MIMO systems.
Findings
Achieves near-optimal sum-rate performance compared to no leakage scenario.
Provides higher energy efficiency than existing schemes.
Effectively aligns channel gains to maximize received SNR.
Abstract
The emerging millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with lens antenna arrays, which is also known as "beamspace MIMO", can effectively reduce the required number of power-hungry radio frequency (RF) chains. Therefore, it has been considered as a promising technique for the upcoming 5G communications and beyond. However, most current studies on beamspace MIMO have not taken into account the important power leakage problem in beamspace channels, which possibly leads to a significant degradation in the signal-to-noise ratio (SNR) and the system sum-rate. To this end, we propose a beam aligning precoding method to handle the power leakage problem in this paper. Firstly, a phase shifter network (PSN) structure is proposed, which enables each RF chain in beamspace MIMO to select multiple beams to collect the leakage power. Then, a rotation-based precoding…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
