TY - JOUR
T1 - Joint Trajectory and Beamforming Design for Secure Aerial ISAC Systems
AU - Wang, Yuanyuan
AU - Lei, Hongjiang
AU - Park, Ki Hong
AU - Dan, Qian
AU - Miao, Xiaqing
AU - Aboulhassan, Mohamed A.
AU - Pan, Gaofeng
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2026
Y1 - 2026
N2 - Integrated sensing and communication (ISAC), an emerging technology for wireless networks, enables efficient use of scarce spectrum resources by supporting simultaneous communication and sensing. This work investigates the secrecy performance of an uncrewed aerial vehicle (UAV)-assisted ISAC system, in which a UAV operates as an aerial base station to serve multiple ground users while simultaneously transmitting sensing signals to detect potential eavesdroppers. To maximize the average secrecy rate (ASR), we jointly optimize the user scheduling, transmit beamforming, receive filtering vector, and the UAV's flight trajectory. The formulated optimization problem is decomposed into four subproblems, which are transformed into convex forms via successive convex approximation, and are solved iteratively using the block coordinate descent (BCD) method. Simulation results demonstrate the correctness and effectiveness of the proposed scheme.
AB - Integrated sensing and communication (ISAC), an emerging technology for wireless networks, enables efficient use of scarce spectrum resources by supporting simultaneous communication and sensing. This work investigates the secrecy performance of an uncrewed aerial vehicle (UAV)-assisted ISAC system, in which a UAV operates as an aerial base station to serve multiple ground users while simultaneously transmitting sensing signals to detect potential eavesdroppers. To maximize the average secrecy rate (ASR), we jointly optimize the user scheduling, transmit beamforming, receive filtering vector, and the UAV's flight trajectory. The formulated optimization problem is decomposed into four subproblems, which are transformed into convex forms via successive convex approximation, and are solved iteratively using the block coordinate descent (BCD) method. Simulation results demonstrate the correctness and effectiveness of the proposed scheme.
KW - Beamforming
KW - integrated sensing and communication (ISAC)
KW - physical-layer security (PLS)
KW - trajectory optimization
KW - uncrewed aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/105032856484
U2 - 10.1109/JIOT.2026.3673010
DO - 10.1109/JIOT.2026.3673010
M3 - Article
AN - SCOPUS:105032856484
SN - 2327-4662
VL - 13
SP - 24492
EP - 24503
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 11
ER -