Flexible-Position Multi-State RIS-Assisted Wireless Communication: Channel Modeling and Spatial Characteristic Measurements

Reconfigurable intelligent surface (RIS) has emerged as a promising technology for enhancing communication systems. This paper investigates a novel flexible-position RIS-assisted communication system, where the RIS is mounted on a slide rail, enabling spatial adaptability. Unlike traditional fixed-position RISs, the proposed system leverages both spatial flexibility and phase reconfigurability to optimize system performance while reducing overhead through strategic position adjustment. To characterize the spatial variations introduced by RIS movement, we propose a generalized RIS channel model that integrates a practical visibility region function with near-field spherical wave propagation. This model captures the spatial correlation characteristics influenced by multipath angular spread, scatterer distribution, and RIS positioning. Furthermore, we introduce a measurement scheme using a multi-state RIS hardware to analyze segmented channels across fixed-position and flexible-position scenarios. Our measurement reveals that the intra-cluster power angular spectrum follows a Gaussian distribution, and in strong scattering environments, spatial correlation exhibits an enhanced degree of freedom due to spatial non-stationarity effects. In particular, the experimental results demonstrate that the gain of the received power varies from 0.4 dB to 5.3 dB across different RIS positions, providing empirical evidence that spatial adaptability of RIS effectively resists channel non-stationarity. These findings highlight the potential of flexible-position RIS to enhance future wireless communication systems.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-09-30
DOI
https://doi.org/10.1109/jsac.2025.3616064
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
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article

Flexible-Position Multi-State RIS-Assisted Wireless Communication: Channel Modeling and Spatial Characteristic Measurements

Shi Jin, Wankai Tang, Hao Xu, Yanqing Ren et al.
IEEE Journal on Selected Areas in Communications
Advanced Wireless Communication Techniques
article

Flexible-Position Multi-State RIS-Assisted Wireless Communication: Channel Modeling and Spatial Characteristic Measurements

Shi Jin, Wankai Tang, Hao Xu, Yanqing Ren, Weicong Chen, Xiaokun Teng, Xiao Li, Mingyong Zhou
article en

Abstract

Reconfigurable intelligent surface (RIS) has emerged as a promising technology for enhancing communication systems. This paper investigates a novel flexible-position RIS-assisted communication system, where the RIS is mounted on a slide rail, enabling spatial adaptability. Unlike traditional fixed-position RISs, the proposed system leverages both spatial flexibility and phase reconfigurability to optimize system performance while reducing overhead through strategic position adjustment. To characterize the spatial variations introduced by RIS movement, we propose a generalized RIS channel model that integrates a practical visibility region function with near-field spherical wave propagation. This model captures the spatial correlation characteristics influenced by multipath angular spread, scatterer distribution, and RIS positioning. Furthermore, we introduce a measurement scheme using a multi-state RIS hardware to analyze segmented channels across fixed-position and flexible-position scenarios. Our measurement reveals that the intra-cluster power angular spectrum follows a Gaussian distribution, and in strong scattering environments, spatial correlation exhibits an enhanced degree of freedom due to spatial non-stationarity effects. In particular, the experimental results demonstrate that the gain of the received power varies from 0.4 dB to 5.3 dB across different RIS positions, providing empirical evidence that spatial adaptability of RIS effectively resists channel non-stationarity. These findings highlight the potential of flexible-position RIS to enhance future wireless communication systems.

IEEE Journal on Selected Areas in CommunicationsVol. 44
Southeast University (CN)
Openalex Percentile: Top 73%
Advanced Wireless Communication Techniques
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