当前位置: X-MOL 学术IEEE Open J. Commun. Soc. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Constrained Channel Decomposition-Based Hybrid Beamforming for mmWave Massive MIMO Systems
IEEE Open Journal of the Communications Society ( IF 6.3 ) Pub Date : 2020-10-30 , DOI: 10.1109/ojcoms.2020.3035118
Guilherme Martignago Zilli , Wei-Ping Zhu

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.

中文翻译:

用于毫米波大规模MIMO系统的基于受限信道分解的混合波束成形

在本文中,我们提出了一种用于多用户mmWave大规模MIMO系统的混合波束成形设计。我们采用两阶段方法分别设计模拟和数字波束成形。模拟波束成形设计基于受限的低秩信道分解,旨在同时获取阵列增益并减少用户内和用户间干扰。通过使用正则化的信道对角化方法进行数字波束成形设计,该方法在多用户干扰抑制和发射分集之间提供了更好的折衷,从而在低SNR情况下或与许多用户通信或通过许多数据流进行通信时获得了更好的性能。 。我们通过数值模拟验证了所提出设计的有效性,
更新日期:2020-11-21
down
wechat
bug