发表机构
Ruhr University Bochum（波鸿鲁尔大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对RIS辅助多播中的离散相位、共谋窃听和静态波束问题，提出联合优化RIS配置与基站波束管理的最小化窃听SNR方案，通过MIQCP全局最优求解，实现高达58%的安全增益。
AI 中文摘要
可重构智能表面（RIS）有望通过扩展覆盖范围并在受阻环境中实现可靠操作，彻底改变无线多播。然而，这些优势可能因实际部署因素产生的安全漏洞而受到削弱。本工作解决了三个此类关键因素：（i）RIS相移的离散性，（ii）共谋窃听者的存在，以及（iii）静态照明波束的低效性，如果在系统设计中未妥善考虑，每个因素都会威胁安全性。为缓解这些问题，我们制定了一个联合资源分配问题，通过协同优化RIS配置和基站（BS）波束管理，最小化所有窃听者的窃听信噪比（SNR）。这产生了一个复杂的非凸混合整数非线性规划（MINLP），我们将其等价重构为可全局最优求解的易处理混合整数二次约束规划（MIQCP）。数值结果证实，所提方案显著增强了安全性，与现有基线相比，将窃听SNR抑制了高达58%。
英文摘要
Reconfigurable intelligent surfaces (RISs) are poised to revolutionize wireless multicasting by enabling extended coverage and reliable operation in obstructed environments. These benefits, however, can be undermined by security vulnerabilities arising from practical deployment factors. This work addresses three such critical factors, (i) the discrete nature of RIS phase shifts, (ii) the presence of colluding eavesdroppers, and (iii) the inefficiency of static illumination beams, each threatening security if not properly accounted for in system design. To mitigate these issues, we formulate a joint resource allocation problem that minimizes the wiretap signal-to-noise ratio (SNR) across all eavesdroppers by co-optimizing the RIS configuration and the base station (BS) beam management. This yields a complex, nonconvex mixed-integer nonlinear program (MINLP), which we equivalently reformulate into a tractable mixed-integer quadratically constrained program (MIQCP) solvable to global optimality. Numerical results confirm that the proposed scheme significantly bolsters security, suppressing the wiretap SNR by up to 58% compared to existing baselines.
CommentsIEEE Transactions on Vehicular Technology
