11 citations · 41 across the 34 of their papers we have counts for
4 papers · 1 filter
Acquisition of Channel State Information for mmWave Massive MIMO: Traditional and Machine Learning-based Approaches
Chenhao Qi, Peihao Dong, Wenyan Ma +3
The accuracy of channel state information (CSI) acquisition directly affects the performance of millimeter wave (mmWave) communications. In this article, we provide an overview on…
Sparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO
Wenyan Ma, Chenhao Qi, Zaichen Zhang +1
Channel estimation and hybrid precoding are considered for multi-user millimeter wave massive multi-input multi-output system. A deep learning compressed sensing (DLCS) channel est…
High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO System
Wenyan Ma, Chenhao Qi, Geoffrey Ye Li
In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for freq…
Machine Learning for Beam Alignment in Millimeter Wave Massive MIMO
Wenyan Ma, Chenhao Qi, Geoffrey Ye Li
This article investigates beam alignment for multi-user millimeter wave (mmWave) massive multi-input multi-output system. Unlike the existing works using machine learning (ML), an…