TY - GEN
T1 - Active Reconfigurable Intelligent Surface Aided Secure ISAC System
AU - Shi, Jiale
AU - Dong, Limeng
AU - Yan, Wanyu
AU - Chen, Yang
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates an active reconfigurable intelligent surface (RIS) aided integrated sensing and communication system, in which a multi-antenna base station, a single antenna communication user, eavesdropper (Eve) as well as a flying target are considered. In this system, the active RIS is deployed to assist the communication and also create a virtual line-of-sight link for target sensing. Due to broadcast nature of wireless channels, the confidential user's information can be leaked to the eavesdropper as well as the target when performing communication and sensing. To combat eavesdropping attack, we formulate a power minimization problem of base station subject to quality of service constraint at the user, maximum eavesdropping signal-to-interference ratio (SINR) constraint at Target, minimum SINR constraint of the echo signal, RIS amplification factor constraint as well as secrecy outage probability constraint at Eve given imperfect Eve's channel state information. An efficient alternating optimization (AO) combined with semi-definite relaxation algorithm and successive convex approximation is proposed to solve this problem. Simulation results show the performance of proposed algorithm achieve better performance than the benchmark schemes.
AB - This paper investigates an active reconfigurable intelligent surface (RIS) aided integrated sensing and communication system, in which a multi-antenna base station, a single antenna communication user, eavesdropper (Eve) as well as a flying target are considered. In this system, the active RIS is deployed to assist the communication and also create a virtual line-of-sight link for target sensing. Due to broadcast nature of wireless channels, the confidential user's information can be leaked to the eavesdropper as well as the target when performing communication and sensing. To combat eavesdropping attack, we formulate a power minimization problem of base station subject to quality of service constraint at the user, maximum eavesdropping signal-to-interference ratio (SINR) constraint at Target, minimum SINR constraint of the echo signal, RIS amplification factor constraint as well as secrecy outage probability constraint at Eve given imperfect Eve's channel state information. An efficient alternating optimization (AO) combined with semi-definite relaxation algorithm and successive convex approximation is proposed to solve this problem. Simulation results show the performance of proposed algorithm achieve better performance than the benchmark schemes.
KW - Active reconfigurable intelligent surface
KW - imperfect channel state information
KW - integrated sensing and communication
KW - secure transmission
UR - https://www.scopus.com/pages/publications/105033150292
U2 - 10.1109/ICICSP66564.2025.11338213
DO - 10.1109/ICICSP66564.2025.11338213
M3 - 会议稿件
AN - SCOPUS:105033150292
T3 - 2025 8th International Conference on Information Communication and Signal Processing, ICICSP 2025
SP - 715
EP - 720
BT - 2025 8th International Conference on Information Communication and Signal Processing, ICICSP 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Information Communication and Signal Processing, ICICSP 2025
Y2 - 12 September 2025 through 14 September 2025
ER -