TY - GEN
T1 - Joint Design for Cramér-Rao Bound and Secure Transmission in Semi-IRS Aided ISAC Systems
AU - Wei, Wenjing
AU - Pang, Xiaowei
AU - Qin, Xiaoqi
AU - Gong, Shiqi
AU - Xing, Chengwen
AU - Zhao, Nan
AU - Niyato, Dusit
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - We study a semi-passive intelligent reflecting surface (IRS) enabled ISAC, where IRS is employed to assist the secure communication and perform target sensing. Specifically, we model two types of targets, namely point targets and extended targets. The direction-of-arrival (DoA) of the former and the complete target response matrix of the latter should be estimated. We derive the Cramér-Rao bound (CRB) as the performance metric of target estimation. To achieve the performance tradeoff, we design a weighted optimization problem that balances maximizing the secrecy rate and minimizing the CRB, via jointly optimizing the transmit beamforming and phase shifts of IRS. Then, we employ the alternating optimization, successive convex approximation and semi-definite relaxation to tackle the non-convex problems for the two target cases. Simulation results show the effectiveness of the proposed schemes.
AB - We study a semi-passive intelligent reflecting surface (IRS) enabled ISAC, where IRS is employed to assist the secure communication and perform target sensing. Specifically, we model two types of targets, namely point targets and extended targets. The direction-of-arrival (DoA) of the former and the complete target response matrix of the latter should be estimated. We derive the Cramér-Rao bound (CRB) as the performance metric of target estimation. To achieve the performance tradeoff, we design a weighted optimization problem that balances maximizing the secrecy rate and minimizing the CRB, via jointly optimizing the transmit beamforming and phase shifts of IRS. Then, we employ the alternating optimization, successive convex approximation and semi-definite relaxation to tackle the non-convex problems for the two target cases. Simulation results show the effectiveness of the proposed schemes.
KW - Cramér-Rao bound
KW - integrated sensing and communication
KW - intelligent reflecting surface
KW - physical layer security
KW - weighted optimization
UR - http://www.scopus.com/inward/record.url?scp=85206130708&partnerID=8YFLogxK
U2 - 10.1109/VTC2024-Spring62846.2024.10683559
DO - 10.1109/VTC2024-Spring62846.2024.10683559
M3 - Conference contribution
AN - SCOPUS:85206130708
T3 - IEEE Vehicular Technology Conference
BT - 2024 IEEE 99th Vehicular Technology Conference, VTC2024-Spring 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 99th IEEE Vehicular Technology Conference, VTC2024-Spring 2024
Y2 - 24 June 2024 through 27 June 2024
ER -