Constrained Channel Decomposition-Based Hybrid Beamforming for mmWave Massive MIMO Systems

被引:5
作者
Zilli, Guilherme Martignago [1 ]
Zhu, Wei-Ping [1 ]
机构
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2020年 / 1卷
基金
加拿大自然科学与工程研究理事会;
关键词
Constrained low-rank decomposition; hybrid beamforming; multiuser MIMO; millimeter wave; regularized channel diagonalization; COMBINER DESIGN; PHASE SHIFTERS; 5G; REQUIREMENTS; ARCHITECTURE; PRECODER; VISION;
D O I
10.1109/OJCOMS.2020.3035118
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this article, we propose a hybrid beamforming design for multiuser mmWave massive MIMO systems. We adopt a two-stage approach for designing the analog and digital beamforming separately. The analog beamforming design is based on a constrained low-rank channel decomposition and aims to simultaneously harvest the array gain and reduce the intra- and inter-user interference. The digital beamforming design is conducted by using the regularized channel diagonalization method, which provides a better trade-off between multiuser interference suppression and transmit diversity, thus attaining a better performance in low-SNR scenarios or when communicating to many users or through many data streams. We validate the effectiveness of the proposed design through numerical simulations, which have shown that our design outperforms several other hybrid beamforming designs in the literature.
引用
收藏
页码:1707 / 1720
页数:14
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