An optimization framework is formulated to maximize the sum secrecy rate for both DL and UL, considering power budget constraints for sensing and communications, and an iterative joint Taylor-block cyclic coordinate descent (IJTB) method is introduced to approximate it as a convex problem.
Abstract
In an integrated sensing and communications (ISAC) system, targets may intercept information. We address this specific security issue in a full-duplex ISAC system with malicious eavesdroppers aiming to intercept uplink (UL) and downlink (DL) communication exchanges between the dual-functional radar and communication base station and legitimate communication users. We formulate an optimization framework to maximize the sum secrecy rate for both DL and UL, considering power budget constraints for sensing and communications. The optimization problem is non-convex, so we introduce an iterative joint Taylor-block cyclic coordinate descent (IJTB) method to approximate it as a convex problem. The IJTB method alternates between sub-problems: one for UL beamformers and another for UL power allocation, artificial noise covariance, and DL beamforming, using Taylor approximations to simplify optimization. Simulations demonstrate the effectiveness of our approach compared to standard benchmarks.
This letter investigates secure transmission in active reconfigurable intelligent surface (RIS)-assisted integrated sensing and communication (ISAC) systems. We consider a scenario with multiple colluding eavesdroppers (Eves), where a dual-functional ISAC base station (BS) simultaneously serves multiple legitimate user...
Simulation results demonstrate that the proposed algorithms can achieve superior trade-offs among communication efficiency, secrecy enhancement, and surveillance performance than conventional methods.
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This paper investigates a secure integrated sensing and communication (ISAC) system assisted by a reconfigurable intelligent surface (RIS). We consider a challenging threat scenario involving a multi-antenna full-duplex eavesdropper that not only wiretaps confidential communication signals but also actively emits jammi...
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An alternating optimization (AO) framework is proposed, employing techniques including discrete binary particle swarm optimization (BPSO), successive convex approximation (SCA) and difference-of-convex (DC) programming to transform the optimization problem into convex subproblems.
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The coupling between radar and communication beams poses a central challenge to the beamforming design of covert integrated sensing and communication (ISAC) systems, as it distorts both the radar echo and the signal leakage observable at a passive eavesdropper. This challenge is further compounded by dual uncertainties...
Hai-Hong Sheng, Peng-Cheng Zhu, Kui Xu et al.· IEEE Transactions on Informa...· 0 citations
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