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Hybrid beamforming is key to achieving energy-efficient 5G wireless networksequipped with massive amount of antennas. Low-resolution data converters bringyet another degree of freedom to energy efficiency for the state-of-the-art 5Gtransceivers. In this work, we consider the design of hybrid precoders formassive multiple-input multiple-output (MIMO) channels in millimeter-wave(mmWave) spectrum along with one-bit digital-to-analog converters (DACs) andfinite-quantized phase shifters. In particular, we propose analternating-optimization-based precoder design which recursively computes thecovariance of the quantization distortion, and updates the precodersaccordingly. Numerical results verify that the achievable rate improves quicklythrough iterations that involve updates to the weight matrix, distortioncovariance of the quantization, and the respective precoders.

Hybrid Precoding for mmWave Massive MIMO with One-Bit DAC