Secrecy Energy Efficiency Maximization in Cooperative UAV-Enabled Secure Communication Systems
Yuan Wu, Enchao Zhang, Yanbo Fan +1 more
The rapid development of Uncrewed Aerial Vehicle (UAV)-enabled wireless networks has greatly enhanced communication flexibility and connectivity in challenging and security-sensitive scenarios. However, achieving high communication security and energy efficiency remains difficult, especially when the locations of potential eavesdroppers are uncertain and time-varying. Existing studies on UAV-enabled secure communications have advanced Secrecy Energy Efficiency (SEE)-oriented design from multiple perspectives, but the joint integration of cooperative dual-UAV design, cooperative jamming, bounded eavesdropper-location uncertainty, and robust SEE maximization remains insufficiently explored. To address this issue, we investigate a cooperative UAV-enabled secure communication system in which a source UAV transmits confidential data to a legitimate user with the assistance of a jammer UAV. We formulate a robust SEE maximization problem under bounded eavesdropper-location uncertainty and develop an efficient solution framework based on alternating optimization, Successive Convex Approximation (SCA), the S-procedure, and Dinkelbach’s method. Simulation results demonstrate that the proposed method achieves superior SEE and stronger robustness against eavesdropper-location uncertainty compared with benchmark schemes.
IEEE Access•Jan 1, 2026•0 citations