6 papers
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…
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…
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…
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…
Codebook Design for Limited Feedback in Near-Field XL-MIMO Systems
Liujia Yao, Changsheng You, Zixuan Huang +3
In this paper, we study efficient codebook design for limited feedback in extremely large-scale multiple-input-multiple-output (XL-MIMO) frequency division duplexing (FDD) systems.…
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…