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超越对角线RIS用于增强安全性和感知增益的 secure ISAC 网络:一种优化框架

Beyond-Diagonal RIS For Enhanced Secrecy and Sensing Gains in Secure ISAC Networks: An Optimization Framework

College of Science and Engineering, Hamad Bin Khalifa University(哈马德·本·哈利法大学科学与工程学院)

Elmehdi Illi, Marwa Qaraqe

AI总结:

本文提出了一种基于超越对角线RIS的 secure ISAC 方案,通过优化问题最大化目标反射功率,提升安全性和感知性能。

摘要:

集成感知与通信(ISAC)作为一种能量和频谱高效的技术,已被用于同时实现通信和感知。可重构智能表面(RIS)是关键技术之一,尤其在无直视链路(LoS)环境中。最近,一种新型RIS,称为超越对角线RIS(BD-RIS),因其在控制传播介质方面提供额外自由度而受到关注。本文提出了一种新的 secure BD-RIS-aided ISAC 方案,并进行了评估。该方案适用于多用户多目标ISAC网络,其中双功能雷达-通信(DFRC)基站同时为多个下行用户服务并感知各种目标,这些目标旨在窃听合法信号。BD-RIS的存在可以绕过无LoS链路的问题,确保安全传输和感知。为此,提出了一个优化问题,旨在最大化每个目标反射功率的加权和,受保密和发射功率约束。通过交替优化(AO)和黎曼共轭梯度方法,获得了BD-RIS散射矩阵、发射信号波束成形矩阵和人工噪声协方差矩阵的局部极值。数值结果表明(i)BD-RIS辅助设计相比其对角RIS(D-RIS)基线具有显著的感知增益,(ii)改进的保密-感知权衡,其中BD-RIS可以在不降低每个目标反射功率的情况下确保系统保密性。

英文摘要:

Integrated sensing and communication (ISAC) has been receiving a notable interest as an energy- and spectrum-efficient enabler for simultaneous communication and sensing. Notably, reconfigurable intelligent surfaces (RIS) is among the key technologies enabling robust communication and sensing, particularly in environments without a line-of-sight (LoS). Recently, a new type of RIS, called beyond-diagonal RIS (BD-RIS), has drawn attention, offering additional degrees of freedom in controlling the propagation medium. In this paper, a novel secure BD-RIS-aided ISAC scheme is proposed and evaluated. The scheme is applicable to a multi-user multi-target ISAC network, where a dual-functional radar-communication (DFRC) base station (BS) simultaneously serves multiple downlink users and senses various targets that aim to eavesdrop on the legitimate signal transmitted to the users. The presence of a BD-RIS enables circumventing the absence of the LoS link and ensures secure transmission and sensing. To this end, an optimization problem is formulated aiming at maximizing a weighted sum of per-target reflected powers, subject to secrecy and transmit power constraints. Thus, by virtue of an Augmented Lagrangian- and Riemannian conjugate gradient-based approach, in addition to semidefinite programming, an alternating optimization (AO)-based algorithm is developed, which provides a local optimum for the BD-RIS scattering matrix, transmit signal beamforming matrices, and artificial noise covariance matrix. Numerical results highlight (i) the notable sensing gains of the BD-RIS-aided design with respect to its diagonal RIS (D-RIS)-based baseline and (ii) the improved secrecy-sensing trade-off, whereby the BD-RIS can ensure an increasing system secrecy without a significant loss in the per-target reflected power.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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