<i>T</i>-Parameters-Based Modeling for Stacked Intelligent Metasurfaces: Tractable and Physically Consistent Model

This work develops a physically consistent model for stacked intelligent metasurfaces (SIM) using multiport network theory and transfer scattering parameters (T-parameters). Unlike the scattering parameters (S-parameters) model, the developed T-parameters model is simpler and more tractable. Moreover, the T-parameters constraints for lossless reciprocal reconfigurable intelligent surfaces (RISs) are derived. Additionally, a gradient descent algorithm (GDA) is introduced to maximize sum-rate in SIM-aided multiuser scenarios, demonstrating that mutual coupling and feedback between consecutive layers enhance performance. However, increasing SIM layers with a fixed total number of elements typically degrades sum-rate, unless the simplified channel model employing Rayleigh-Sommerfeld diffraction coefficients is utilized

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-04-25
DOI
https://doi.org/10.1109/lwc.2025.3564486
Citations
2
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.43
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article

T-Parameters-Based Modeling for Stacked Intelligent Metasurfaces: Tractable and Physically Consistent Model

Matteo Nerini, Hamad Yahya, Mérouane Debbah, Bruno Clerckx
2 citations
IEEE Wireless Communications Letters
Modular Robots and Swarm Intelligence
1.43
article

T-Parameters-Based Modeling for Stacked Intelligent Metasurfaces: Tractable and Physically Consistent Model

Matteo Nerini, Hamad Yahya, Mérouane Debbah, Bruno Clerckx
article en
2 citations

Abstract

This work develops a physically consistent model for stacked intelligent metasurfaces (SIM) using multiport network theory and transfer scattering parameters (T-parameters). Unlike the scattering parameters (S-parameters) model, the developed T-parameters model is simpler and more tractable. Moreover, the T-parameters constraints for lossless reciprocal reconfigurable intelligent surfaces (RISs) are derived. Additionally, a gradient descent algorithm (GDA) is introduced to maximize sum-rate in SIM-aided multiuser scenarios, demonstrating that mutual coupling and feedback between consecutive layers enhance performance. However, increasing SIM layers with a fixed total number of elements typically degrades sum-rate, unless the simplified channel model employing Rayleigh-Sommerfeld diffraction coefficients is utilized

IEEE Wireless Communications LettersVol. 14(7)
Khalifa University of Science and Technology (AE), Imperial College London (GB)
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Openalex Percentile: Top 21%
Modular Robots and Swarm Intelligence
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