activity
20192024
most citedSparse Channel Estimation and Hybrid Precoding Using Deep Learning for Millimeter Wave Massive MIMO

9 citations · 10 across the 8 of their papers we have counts for

collaborators

5 papers

cs.IT2022

MIMO Capacity Characterization for Movable Antenna Systems

Wenyan Ma, Lipeng Zhu, Rui Zhang

In this paper, we propose a new multiple-input multiple-output (MIMO) communication system with movable antennas (MAs) to exploit the antenna position optimization for enhancing th…

eess.SP20209 cited

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…

eess.SP2020

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…

eess.SP2020

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…

eess.SP2019

Beamspace Channel Estimation for Millimeter Wave Massive MIMO System with Hybrid Precoding and Combining

Wenyan Ma, Chenhao Qi

In this paper, a framework of beamspace channel estimation in millimeter wave (mmWave) massive MIMO system is proposed. The framework includes the design of hybrid precoding and co…