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20172024
most citedTriple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO

20 citations · 20 across the 4 of their papers we have counts for

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cs.IT2024

Analog-Only Beamforming for Near-Field Multiuser MIMO Communications

Ying Wang, Chenhao Qi

For the existing near-field multiuser communications based on hybrid beamforming (HBF) architectures, high-quality effective channel estimation is required to obtain the channel st…

cs.IT2024

Beam Switching Based Beam Design for High-Speed Train mmWave Communications

Jingjia Huang, Chenhao Qi, Octavia A. Dobre +1

For high-speed train (HST) millimeter wave (mmWave) communications, the use of narrow beams with small beam coverage needs frequent beam switching, while wider beams with small bea…

cs.IT2024

Hybrid Beamforming Design for Covert mmWave MIMO with Finite-Resolution DACs

Wei Ci, Chenhao Qi, Xiaohu You

We investigate hybrid beamforming design for covert millimeter wave multiple-input multiple-output systems with finite-resolution digital-to-analog converters (DACs), which impose…

cs.IT2024

Near-Field Multiuser Communications based on Sparse Arrays

Kangjian Chen, Chenhao Qi, Geoffrey Ye Li +1

This paper considers near-field multiuser communications based on sparse arrays (SAs). First, for the uniform SAs (USAs), we analyze the beam gains of channel steering vectors, whi…

cs.IT202420 cited

Triple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO

Kangjian Chen, Chenhao Qi, Octavia A. Dobre +1

This paper investigates beam training for extremely large-scale multiple-input multiple-output systems. By considering both the near field and far field, a triple-refined hybrid-fi…

cs.IT2022

Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO

Chenhao Qi, Qiang Liu, Xianghao Yu +1

A variable-phase-shifter (VPS) architecture with hybrid precoding for mixture use of phase shifters and switches, is proposed for millimeter wave massive multiple-input multiple-ou…