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

2 citations · 2 across the 10 of their papers we have counts for

collaborators

11 papers

eess.SP2026

Generative Deep Learning for CSI Feedback in Massive MIMO via Channel Distribution Prediction

Liujia Yao, Changsheng You, Chao Zhou +2

Existing deep-learning-based channel state information (CSI) feedback methods reduce feedback overhead by compressing high-dimensional CSI into low-dimensional representations and/…

cs.RO2026

Event-Adaptive Motion Planning with Distilled Vision-Language Model in Safety-Critical Situations

Zhenwei Huang, Changsheng You, Shuai Wang +3

Robot navigation in safety-critical scenarios faces significant challenges from unforeseen semantic events, where collisions arise primarily from the unpredictable behaviors of dyn…

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…

cs.IT2026★ 2 cited

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.…

eess.SP2025

Near-field Target Localization: Effect of Hardware Impairments

Jiapeng Li, Changsheng You, Chao Zhou +2

The prior works on near-field target localization have mostly assumed ideal hardware models and thus suffer from two limitations in practice. First, extremely large-scale arrays (X…

cs.IT2025

Rotatable IRS-Assisted 6DMA Communications: A Two-timescale Design

Chao Zhou, Changsheng You, Cong Zhou +4

Intelligent reflecting surface (IRS) and movable antenna (MA) are promising technologies to enhance wireless communication by reconfiguring channels at the environment and transcei…

eess.SP2025

Position Optimization for Two-layer Movable Antenna Systems

Liujia Yao, Changsheng You, Chao Zhou +2

Movable antenna (MA) is a promising technology for improving the performance of wireless communication systems by providing new degrees-of-freedom (DoFs) in antenna position optimi…

eess.SP2025

Frequency-switching Array Enhanced Physical-Layer Security in Terahertz Bands: A Movable Antenna Perspective

Cong Zhou, Changsheng You, Chao Zhou +4

In this paper, we propose a new frequency-switching array (FSA) to enhance the physical-layer security (PLS) in the presence of multiple eavesdroppers (Eves), where the carrier fre…

eess.SP2025

A Tutorial on MIMO-OFDM ISAC: From Far-Field to Near-Field

Qianglong Dai, Yong Zeng, Huizhi Wang +10

Integrated sensing and communication (ISAC) is one of the key usage scenarios for future sixth-generation (6G) mobile communication networks, where communication and sensing (C&S)…

eess.SP2025

Rotatable Antennas for Integrated Sensing and Communications

Chao Zhou, Changsheng You, Beixiong Zheng +2

In this letter, we propose to deploy rotatable antennas (RAs) at the base station (BS) to enhance both communication and sensing (C&S) performances, by exploiting a new spatial deg…

eess.SP2025

Mixed Near-field and Far-field Localization in Extremely Large-scale MIMO Systems

Cong Zhou, Changsheng You, Chao Zhou +2

In this paper, we study efficient \emph{mixed near-field and far-field} target localization methods in extremely large-scale multiple-input multiple-output (XL-MIMO) systems Compar…