Near-Field Channel Modeling and Measurement of Fluid Multi-State RIS-Assisted Wireless Communication

Reconfigurable intelligent surface (RIS) has gained significant attention as an innovative solution for enhancing communication system performance. This paper proposes a novel fluid RIS-assisted communication system with spatial adaptability, where the RIS is mounted on a slide rail. By leveraging both spatial flexibility and phase reconfigurability, the proposed system overcomes the limitations of conventional fixed-position RIS. To characterize the spatial variations introduced by RIS movement, we establish a novel channel modeling framework that combines near-field spherical wave propagation with practical visibility region functions. Experimental results reveal that dynamic RIS position yields received power gain variations ranging from 0.4 dB to 5.3 dB. This empirical evidence strongly validates the capability of fluid RIS to counteract channel non-stationarity.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1109/vtc2025-spring65109.2025.11174784
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.73
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article

Near-Field Channel Modeling and Measurement of Fluid Multi-State RIS-Assisted Wireless Communication

Shi Jin, Wankai Tang, Hao Xu, Yanqing Ren et al.
1 citations
Energy Harvesting in Wireless Networks
0.73
article

Near-Field Channel Modeling and Measurement of Fluid Multi-State RIS-Assisted Wireless Communication

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

Abstract

Reconfigurable intelligent surface (RIS) has gained significant attention as an innovative solution for enhancing communication system performance. This paper proposes a novel fluid RIS-assisted communication system with spatial adaptability, where the RIS is mounted on a slide rail. By leveraging both spatial flexibility and phase reconfigurability, the proposed system overcomes the limitations of conventional fixed-position RIS. To characterize the spatial variations introduced by RIS movement, we establish a novel channel modeling framework that combines near-field spherical wave propagation with practical visibility region functions. Experimental results reveal that dynamic RIS position yields received power gain variations ranging from 0.4 dB to 5.3 dB. This empirical evidence strongly validates the capability of fluid RIS to counteract channel non-stationarity.

Southeast University (CN)
Openalex Percentile: Top 23%
Energy Harvesting in Wireless Networks
0.73
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