Hybrid Precoder and Combiner Design with Low Resolution Phase Shifters in mmWave MIMO Systems

Abstract

Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless networks. Economical and energy efficient analog/digial hybrid precoding and combining transceivers have been often proposed for mmWave massive multiple-input multiple-output (MIMO) systems to overcome the severe propagation loss of mmWave channels. One major shortcoming of existing solutions lies in the assumption of infinite or high-resolution phase shifters (PSs) to realize the analog beamformers. However, low-resolution PSs are typically adopted in practice to reduce the hardware cost and power consumption. Motivated by this fact, in this paper, we investigate the practical design of hybrid precoders and combiners with low-resolution PSs in mmWave MIMO systems. In particular, we propose an iterative algorithm which successively designs the low-resolution analog precoder and combiner pair for each data stream, aiming at conditionally maximizing the spectral efficiency. Then, the digital precoder and combiner are computed based on the obtained effective baseband channel to further enhance the spectral efficiency. In an effort to achieve an even more hardware-efficient large antenna array, we also investigate the design of hybrid beamformers with one-bit resolution (binary) PSs, and present a novel binary analog precoder and combiner optimization algorithm with quadratic complexity in the number of antennas. The proposed low-resolution hybrid beamforming design is further extended to multiuser MIMO communication systems. Simulation results demonstrate the performance advantages of the proposed algorithms compared to existing low-resolution hybrid beamforming designs, particularly for the one-bit resolution PS scenario.

References in corpus (5)

• An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems
• Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
• Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays
• Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition
• Near-Optimal Hybrid Analog and Digital Precoding for Downlink mmWave Massive MIMO Systems

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• A New Codebook Design for Analog Beamforming in Millimeter-wave Communication
• Circulant Shift-based Beamforming for Secure Communication with Low-resolution Phased Arrays
• Hybrid beamforming with dynamic subarrays and low-resolution PSs for mmWave MU-MISO systems
• Dynamic Hybrid Precoding Relying on Twin-Resolution Phase Shifters in Millimeter-Wave Communication Systems
• A Hardware-Efficient Hybrid Beamforming Solution for mmWave MIMO Systems
• Hybrid Precoder and Combiner for Imperfect Beam Alignment in mmWave MIMO Systems