Channel Gain Modeling Through an Intelligent Reflecting Surface

Recently, Intelligent Reflecting Surfaces (IRSs) with controllable substructures have attracted attention due to their ability to manipulate electromagnetic wave reflections. A key benefit of IRSs is their capacity to enhance signal gain at the receiver. In this article, we propose a general channel gain model suitable for various wireless communication setups. We start with the gain models for the basic Single-Input Single-Output (SISO) case, progressing to the general model in the Multiple-Input Multiple-Output (MIMO) scenario. The models simplify for specific parameter choices. Also, we determine the optimal phase of IRS atoms for maximizing gain.

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Publication Details

Journal
IEEE Networking Letters
Published
2025-05-30
DOI
https://doi.org/10.1109/lnet.2025.3575096
Citations
1
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
Field-Weighted Citation Impact
4.99

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article

Channel Gain Modeling Through an Intelligent Reflecting Surface

Eirini Eleni Tsiropoulou, Md Sadman Siraj, Jason K. Bingham
1 citations
IEEE Networking Letters
Advanced Antenna and Metasurface Technologies
4.99
article

Channel Gain Modeling Through an Intelligent Reflecting Surface

Eirini Eleni Tsiropoulou, Md Sadman Siraj, Jason K. Bingham
article en
1 citations

Abstract

Recently, Intelligent Reflecting Surfaces (IRSs) with controllable substructures have attracted attention due to their ability to manipulate electromagnetic wave reflections. A key benefit of IRSs is their capacity to enhance signal gain at the receiver. In this article, we propose a general channel gain model suitable for various wireless communication setups. We start with the gain models for the basic Single-Input Single-Output (SISO) case, progressing to the general model in the Multiple-Input Multiple-Output (MIMO) scenario. The models simplify for specific parameter choices. Also, we determine the optimal phase of IRS atoms for maximizing gain.

IEEE Networking LettersVol. 7(3)
University of New Mexico (US), Arizona State University (US)
National Science Foundation
Climate action
Openalex Percentile: Top 6%
Advanced Antenna and Metasurface Technologies
4.99
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Channel Gain Modeling Through an Intelligent Reflecting Surface — Eirini Eleni Tsiropoulou, Md Sadman Siraj, et al. · IEEE Networking Letters (2025) | TGRS Research Map | TGRS