TY  - GEN
Y1  - 2024/01/30/
CY  - Ithaca, NY, USA
TI  - Secure ISAC MIMO Systems: Exploiting Interference With Bayesian Cramér-Rao Bound Optimization
AV  - public
N2  - In this paper, we present a signaling design for secure integrated sensing and communication (ISAC) systems comprising a dual-functional multi-input multi-output (MIMO) base station (BS) that simultaneously communicates with multiple users while detecting targets present in their vicinity, which are regarded as potential eavesdroppers. In particular, assuming that the distribution of each parameter to be estimated is known \textit{a priori}, we focus on optimizing the targets' sensing performance. To this end, we derive and minimize the Bayesian Cramér-Rao bound (BCRB), while ensuring certain communication quality of service (QoS) by exploiting constructive interference (CI). The latter scheme enforces that the received signals at the eavesdropping targets fall into the destructive region of the signal constellation, to deteriorate their decoding probability, thus enhancing the ISAC's system physical-layer security (PLS) capability. To tackle the nonconvexity of the formulated problem, a tailored successive convex approximation method is proposed for its efficient solution. Our extensive numerical results verify the effectiveness of the proposed secure ISAC design showing that the proposed algorithm outperforms block-level precoding techniques.
UR  - https://doi.org/10.48550/arXiv.2401.16778
ID  - discovery10189676
EP  - 6
N1  - This is an Open Access paper published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
A1  - Su, Nanchi
A1  - Liu, Fan
A1  - Masouros, Christos
A1  - Alexandropoulos, George C
A1  - Xiong, Yifeng
A1  - Zhang, Qinyu
PB  - ArXiv
KW  - Integrated sensing and communication
KW  -  physical layer security
KW  -  successive convex approximation
KW  -  Bayesian Cramer-Rao bound
KW  -  constructive interference
ER  -