Rayleigh Fading Modeling for Reconfigurable Intelligent Surfaces Under Different Number of Elements

This paper investigates the modeling of Rayleigh fading for Reconfigurable Intelligent Surfaces (RIS) under varying numbers of surface elements. RIS, composed of two-dimensional grids with adjustable electromagnetic properties, has emerged as a promising technology for optimizing wireless communication. Rayleigh fading, a statistical model for signal fluctuations due to multipath propagation, is utilized to evaluate the performance of RIS-assisted communication. Through experimental analyses, including eigenvalue distributions and Signal-to-Noise Ratio (SNR) evaluations, the study highlights the spatial correlation properties and challenges of RIS, such as modeling accuracy and optimization strategies. Results indicate that RIS design and deployment significantly affect channel performance, providing insights for future wireless systems, particularly in 6G and beyond.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/dasa63652.2024.10836347
Citations
1
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
Field-Weighted Citation Impact
1.30
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article

Rayleigh Fading Modeling for Reconfigurable Intelligent Surfaces Under Different Number of Elements

Hassan Rizky Putra Sailellah, Hilal H. Nuha, Bintang Vieshe Mone, Ailal Hamdi Basri
1 citations
Advanced Antenna and Metasurface Technologies
1.30
article

Rayleigh Fading Modeling for Reconfigurable Intelligent Surfaces Under Different Number of Elements

Hassan Rizky Putra Sailellah, Hilal H. Nuha, Bintang Vieshe Mone, Ailal Hamdi Basri
article en
1 citations

Abstract

This paper investigates the modeling of Rayleigh fading for Reconfigurable Intelligent Surfaces (RIS) under varying numbers of surface elements. RIS, composed of two-dimensional grids with adjustable electromagnetic properties, has emerged as a promising technology for optimizing wireless communication. Rayleigh fading, a statistical model for signal fluctuations due to multipath propagation, is utilized to evaluate the performance of RIS-assisted communication. Through experimental analyses, including eigenvalue distributions and Signal-to-Noise Ratio (SNR) evaluations, the study highlights the spatial correlation properties and challenges of RIS, such as modeling accuracy and optimization strategies. Results indicate that RIS design and deployment significantly affect channel performance, providing insights for future wireless systems, particularly in 6G and beyond.

Telkom University (ID)
Openalex Percentile: Top 11%
Advanced Antenna and Metasurface Technologies
1.30
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Rayleigh Fading Modeling for Reconfigurable Intelligent Surfaces Under Different Number of Elements — Hassan Rizky Putra Sailellah, Hilal H. Nuha, et al. · (2024) | TGRS Research Map | TGRS