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20232025
most citedTriple-Refined Hybrid-Field Beam Training for mmWave Extremely Large-Scale MIMO

20 citations · 21 across the 10 of their papers we have counts for

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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

Near-Field Communications for Extremely Large-Scale MIMO: A Beamspace Perspective

Kangjian Chen, Chenhao Qi, Jingjia Huang +2

Extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as one of the key techniques to enhance the performance of future wireless communications. Different from…

cs.IT2024

Joint Beamforming and Illumination Pattern Design for Beam-Hopping LEO Satellite Communications

Jing Wang, Chenhao Qi, Shui Yu +1

Since hybrid beamforming (HBF) can approach the performance of fully-digital beamforming (FDBF) with much lower hardware complexity, we investigate the HBF design for beam-hopping…

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.IT2024★ 20 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…