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<p>This paper presents a comprehensive analysis of secrecy outage probability (SOP) and bit error rate (BER) in reconfigurable intelligent surface (RIS)-assisted vehicular networks compromised by multiple mobile eavesdroppers. A mobility-aware analytical framework is developed that incorporates practical RIS impairments including phase errors, quantization effects and realistic vehicular mobility patterns. Novel closed-form expressions are derived that explicitly capture the impact of vehicle dynamics on security metrics through statistical characterization of the modified Gauss-Markov mobility model. The analysis considers various RIS optimization strategies, comparing SNR maximization with partial nulling approaches and joint secrecy optimization. Extensive Monte Carlo simulations validate the theoretical framework, demonstrating that optimally configured RIS deployments can reduce SOP by up to 45% and BER by 30% compared to non-RIS systems, while maintaining robustness against multiple coordinated eavesdroppers in dynamic vehicular environments.</p>

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Secrecy Outage Probability and Bit Error Rate Analysis of Vehicle-to-Vehicle Communication Using Reconfigurable Intelligent Surface

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Rajesh Kumar,
  • Richa Agrawal,
  • Jagadeesh V K

摘要

This paper presents a comprehensive analysis of secrecy outage probability (SOP) and bit error rate (BER) in reconfigurable intelligent surface (RIS)-assisted vehicular networks compromised by multiple mobile eavesdroppers. A mobility-aware analytical framework is developed that incorporates practical RIS impairments including phase errors, quantization effects and realistic vehicular mobility patterns. Novel closed-form expressions are derived that explicitly capture the impact of vehicle dynamics on security metrics through statistical characterization of the modified Gauss-Markov mobility model. The analysis considers various RIS optimization strategies, comparing SNR maximization with partial nulling approaches and joint secrecy optimization. Extensive Monte Carlo simulations validate the theoretical framework, demonstrating that optimally configured RIS deployments can reduce SOP by up to 45% and BER by 30% compared to non-RIS systems, while maintaining robustness against multiple coordinated eavesdroppers in dynamic vehicular environments.