Performance Analysis of Reconfigurable Intelligent Surface-Assisted Integrated Sensing and Communication Systems With Hybrid Fading Channels

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Abstract
Reconfigurable intelligent surfaces (RIS) and integrated sensing and communication (ISAC) are key enablers for 6G networks, with their integration enhancing spectrum efficiency and multifunctional operations, as explored in recent RIS-aided ISAC frameworks. However, prior works overlook two issues: distinct channel models for radar typically LoS-dominant versus multipath-heavy communication links, and the need for advanced radar metrics beyond traditional bounds. In this paper, we propose a novel RIS-assisted ISAC system tailored for urban environments and adopt a hybrid fading channel model, where LoS-dominant radar direct links are characterized by Rician fading, while RIS-assisted reflected links are modeled using Nakagami-m fading.We introduce a novel dual-path radar model where the base station receives target echoes from both direct and RIS-reflected illuminations. To rigorously assess radar performance, we adopt the radar estimation information rate (REIR), an advanced metric derived from mutual information principles, which quantifies the information-theoretic potential for extracting target-related information from radar echoes under fading and noise. For communication, closed-form expressions for outage probability and ergodic rate are derived under the hybrid channel conditions. Simulations validate the analytical results and demonstrate superior REIR and rate gains over non-RIS baselines in urban environments.
Funding Information
  • Shanghai Engineering Technology Research Center (252102211118)
  • Shanghai Engineering Technology Research Center (262102210219)
  • Faculty of Surveying and Information Engineering Double First-Class Mapping Discipline Outstanding Doctoral and Master’s Thesis Development Fund Project (SYSB202506)
  • Opening Project of Henan Province Engineering Technology Research Center for Photoelectric Detection and Sensing Integration, Henan Polytechnic University (KF202505)
  • Innovative Research Team of Henan Polytechnic University (T2026-1)

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