Abstract
Hybrid beamforming (HBF) with massive multiple-input multiple-output (MIMO) is a promising technology for reaching a compromise between hardware complexity and system performance in 5G millimeter-wave (mmWave) communications systems. In this paper, we investigate the hybrid beamforming design in the downlink multi-user massive MIMO systems. According to information theory, we divide the communication procedure with hybrid beamforming into two different stages. In the analog stage, we propose an alternating optimization scheme to design the analog precoder and combiner, thereby maximizing the capacity of the equivalent baseband channel. Then, in the digital stage, we exploit the baseband block diagonalization method for the design of digital beamformer to eliminate inter-user interference. Finally, simulation results demonstrate that the proposed algorithm can achieve a higher sum-rate than some existing multi-user HBF schemes, while the convergence of the proposed algorithm is relatively fast.
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