1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IT2022
Distributed Neural Precoding for Hybrid mmWave MIMO Communications with Limited Feedback
Kai Wei, Jindan Xu, Wei Xu +2
Hybrid precoding is a cost-efficient technique for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) communications. This paper proposes a deep learning approa…
cs.IT2022
Data Augmentation Empowered Neural Precoding for Multiuser MIMO with MMSE Model
Shaoqing Zhang, Jindan Xu, Wei Xu +3
Precoding design exploiting deep learning methods has been widely studied for multiuser multiple-input multiple-output (MU-MIMO) systems. However, conventional neural precoding des…
cs.IT2022★ 1 cited
RIS-Assisted Quasi-Static Broad Coverage for Wideband mmWave Massive MIMO Systems
Muxin He, Jindan Xu, Wei Xu +3
Reconfigurable intelligent surfaces (RISs) can establish favorable wireless environments to combat the severe attenuation and blockages in millimeter-wave (mmWave) bands. However,…