Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?

Reconfigurable intelligent surfaces (RIS) offer unprecedented flexibility for smart wireless channels. Recent research shows that RIS platforms enhance signal quality, coverage, and link capacity in integrated sensing and communication (ISAC) systems. This paper explores the use of fully-connected beyond diagonal RIS (BD-RIS) in ISAC. BD-RIS provides additional degrees of freedom by allowing non-zero off-diagonal elements in the scattering matrix, enhancing functionality and performance. We aim to maximize the weighted sum of the signal-to-noise ratio (SNR) at both the radar receiver and communication users using BD-RIS. Numerical results demonstrate the advantages of BD-RIS in ISAC, significantly improving SNR for both radar and communication users.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2024-12-04
DOI
https://doi.org/10.1109/lsp.2024.3511395
Citations
13
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
Field-Weighted Citation Impact
4.54
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article

Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?

Mojtaba Soltanalian, Kumar Vijay Mishra, Tara Esmaeilbeig
13 citations
IEEE Signal Processing Letters
Distributed Sensor Networks and Detection Algorithms
4.54
article

Beyond Diagonal RIS: Key to Next-Generation Integrated Sensing and Communications?

Mojtaba Soltanalian, Kumar Vijay Mishra, Tara Esmaeilbeig
article en
13 citations

Abstract

Reconfigurable intelligent surfaces (RIS) offer unprecedented flexibility for smart wireless channels. Recent research shows that RIS platforms enhance signal quality, coverage, and link capacity in integrated sensing and communication (ISAC) systems. This paper explores the use of fully-connected beyond diagonal RIS (BD-RIS) in ISAC. BD-RIS provides additional degrees of freedom by allowing non-zero off-diagonal elements in the scattering matrix, enhancing functionality and performance. We aim to maximize the weighted sum of the signal-to-noise ratio (SNR) at both the radar receiver and communication users using BD-RIS. Numerical results demonstrate the advantages of BD-RIS in ISAC, significantly improving SNR for both radar and communication users.

IEEE Signal Processing LettersVol. 32
DEVCOM Army Research Laboratory (US), United States Army Combat Capabilities Development Command (US), University of Illinois Chicago (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Distributed Sensor Networks and Detection Algorithms
4.54
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