One-Bit Hybrid Precoding for Wideband Millimeter-Wave Massive MIMO Systems

Abstract

Hybrid precoding is an effective method for millimeter-wave (mmWave) massive multiple input multiple output (MIMO) system to reduce the number of radio frequency (RF) chains without an obvious sum-rate loss. However, the current literature on hybrid precoding considers either the high resolution (HR) phase shifters (PSs) with high power consumption or the impractical narrowband mmWave channel model. To this end, in this paper, we investigate an energy-efficient hybrid precoding scheme using one-bit PSs for the practical frequency-selective wideband mmWave massive MIMO systems. Specifically, we provide energy consumption analysis to reveal the fact that the energy consumed by the one-bit PSs is much less as compared to the HR-PSs and the array gain loss incurred by using one-bit PSs is also very small. In addition, motivated by the cross- entropy optimization (CEO) algorithm evolved for machine learning, we propose the CEO-based hybrid precoding scheme to maximize the achievable sum- rate of the considered system. The performance evaluation demonstrates that our proposed scheme can obtain the near-optimal sum-rate and considerably higher energy efficiency than some existing works.