most citedCodebook Design for Limited Feedback in Near-Field XL-MIMO Systems

2 citations · 2 across the 7 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Near-field Beam Training under Multi-path Channels: A Hybrid Learning-and-Optimization Approach

Jiapeng Li, Changsheng You, Guoliang Cheng +3

For extremely large-scale arrays (XL-arrays), the discrete Fourier transform (DFT) codebook, conventionally used in the far-field, has recently been employed for near-field beam tr…

eess.SP2026

Mitigating Mixed-field Interference in Near-field and Far-field Communications: An Antenna Selection Approach

Tianyu Liu, Changsheng You, Chao Zhou +3

In mixed near-field and far-field systems, the nonorthogonality between near-field and far-field channels may cause severe inter-user interference and hence degrade rate performanc…

eess.SP2026

Hybrid-Field Joint Channel and Visible Region Estimation for RIS-Assisted Communications

Xiaokun Tuo, Ming-Min Zhao, Xiang Wang +2

In reconfigurable intelligent surface (RIS)-assisted millimeter-wave (mmWave) communication systems, the large-scale RIS introduces pronounced geometric effects that lead to the co…

eess.SP2025

Near-Field Sparse Bayesian Channel Estimation and Tracking for XL-IRS-Aided Wideband mmWave Systems

Xiaokun Tuo, Zijian Chen, Ming-Min Zhao +2

The rapid development of 6G systems demands advanced technologies to boost network capacity and spectral efficiency, particularly in the context of intelligent reflecting surfaces…

eess.SP2025

Far-Field vs. Near-Field Propagation Channels: Key Differences and Impact on 6G XL-MIMO Performance Evaluation

Zihang Ding, Jianhua Zhang, Changsheng You +5

Extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. However, this will expand the near-f…