Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation

Research output: Contribution to Book/Report typesContribution to conference proceedingspeer-review

Abstract

This paper investigates the use of beyond diagonal reconfigurable intelligent surface (BD-RIS) with N elements to advance integrated sensing and communication (ISAC). We address a key gap in the statistical characterizations of the radar signal-to-noise ratio (SNR) and the communication signal-to-interference-plus-noise ratio (SINR) by deriving tractable closedform cumulative distribution functions (CDFs) for these metrics. Our approach maximizes the radar SNR by jointly configuring radar beamforming and BD-RIS phase shifts. Subsequently, zeroforcing is adopted to mitigate user interference, enhancing the communication SINR. To meet ISAC outage requirements, we propose an analytically-driven successive non-inversion sampling (SNIS) algorithm for estimating network parameters satisfying network outage constraints. Numerical results illustrate the accuracy of the derived CDFs and demonstrate the effectiveness of the proposed SNIS algorithm.

Original languageEnglish
Title of host publicationICC 2025 - IEEE International Conference on Communications
EditorsMatthew Valenti, David Reed, Melissa Torres
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2406-2411
Number of pages6
ISBN (Electronic)9798331505219
DOIs
Publication statusPublished - 2025
Event2025 IEEE International Conference on Communications, ICC 2025 - Montreal, Canada
Duration: 8 Jun 202512 Jun 2025

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2025 IEEE International Conference on Communications, ICC 2025
Country/TerritoryCanada
CityMontreal
Period8/06/2512/06/25

!!!Keywords

  • beyond diagonal reconfigurable intelligent surface (BD-RIS)
  • Integrated sensing and communication (ISAC)
  • inversion sampling

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