TY - GEN
T1 - PHY Security Enhancement Exploiting STAR-RIS for Dual-Functional Radar-Communication
AU - Wang, Chao
AU - Wang, Cheng Cai
AU - Li, Zan
AU - Kwan Ng, Derrick Wing
AU - Wong, Kai Kit
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Considering a simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS)-aided dual-functional radar-communications (DFRC) system, this paper proposes a symbol-level precoding-based scheme for enhancing the physical layer (PHY) security of the confidential information transmission and performing target sensing simultaneously. Specifically, the STAR-RIS-aided DFRC system design objective is to maximize the average received radar sensing power subject to the quality-of-service constraints for multiple communication users, the security constraint for multiple potential eavesdroppers, as well as various practical waveform design restrictions. However, the formulated problem is challenging to handle due to its nonconvexity. To address these issues, we propose a distance-majorization induced low-complexity algorithm to obtain an efficient solution. Simulation results confirm the effectiveness of the STAR-RIS in improving the DFRC performance.
AB - Considering a simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RIS)-aided dual-functional radar-communications (DFRC) system, this paper proposes a symbol-level precoding-based scheme for enhancing the physical layer (PHY) security of the confidential information transmission and performing target sensing simultaneously. Specifically, the STAR-RIS-aided DFRC system design objective is to maximize the average received radar sensing power subject to the quality-of-service constraints for multiple communication users, the security constraint for multiple potential eavesdroppers, as well as various practical waveform design restrictions. However, the formulated problem is challenging to handle due to its nonconvexity. To address these issues, we propose a distance-majorization induced low-complexity algorithm to obtain an efficient solution. Simulation results confirm the effectiveness of the STAR-RIS in improving the DFRC performance.
KW - distance-majorization
KW - dual-functional radar-communication
KW - STAR-RIS
KW - symbol-level precoding
UR - https://www.scopus.com/pages/publications/85167648585
U2 - 10.1109/ICCWorkshops57953.2023.10283800
DO - 10.1109/ICCWorkshops57953.2023.10283800
M3 - 会议稿件
AN - SCOPUS:85167648585
T3 - 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023
SP - 562
EP - 567
BT - 2023 IEEE International Conference on Communications Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
Y2 - 28 May 2023 through 1 June 2023
ER -