Abstract

Hybrid precoding is widely used in millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. However, most prior work on hybrid precoding focused on the fully connected hybrid architectures and the subconnected but fixed architectures in which each radio frequency (RF) chain is connected to a specific subset of the antennas. The limited work shows that dynamic subarray architectures address the tradeoff between achievable spectral efficiency and energy efficiency of mmWave massive MIMO systems. Nevertheless, in the multiuser hybrid precoding systems, the existing dynamic subarray schemes ignore the fairness of users and the problem of user selection. In this paper, we propose a novel multiuser hybrid precoding scheme for dynamic subarray architectures. Firstly, we select a multiuser set among all users according to the analog effective channel information of the base station (BS) and then design the subset of the antennas to each RF by the fairness antenna-partitioning algorithm. Finally, the optimal analog precoding vector is designed according to each subarray, and the digital precoding is designed by the minimum mean-squared error (MMSE) criterion. The simulation results show that the performance advantages of the proposed multiuser hybrid precoding scheme for dynamic subarray architectures.

Highlights

  • Millimeter-wave massive multiple-input multiple-output (MIMO), as a key technology in the next-generation wireless systems, can achieve multigigabit data rates benefiting from its abundant frequency resource [1] and provide highly directional beamforming gains to compensate for the path loss of mmWave signals [2]

  • One is the joint analog domain precoding and digital domain precoding simultaneously [5,6,7, 9]. Another is the analog domain precoding designed by the channel gain at first and the digital domain precoding designed by the analog equivalent channel [12,13,14,15], and this way is usually applies to multiuser mmWave systems

  • We propose a new antenna-partitioning algorithm and a multiuser hybrid precoding scheme for the dynamic subarray of multiuser mmWave massive MIMO systems

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Summary

Introduction

Millimeter-wave massive MIMO, as a key technology in the next-generation wireless systems, can achieve multigigabit data rates benefiting from its abundant frequency resource [1] and provide highly directional beamforming gains to compensate for the path loss of mmWave signals [2]. For mmWave massive MIMO systems, hybrid precoding solves the problem that the fully digital precoding unsuitable for this systems, and can achieve performance close to a full digital precoding [3, 4]. One is the joint analog domain precoding and digital domain precoding simultaneously [5,6,7, 9] Another is the analog domain precoding designed by the channel gain at first and the digital domain precoding designed by the analog equivalent channel [12,13,14,15], and this way is usually applies to multiuser mmWave systems. Most previous works did not explore the problem of the tradeoff between spectral efficiency and energy efficiency

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