Secure SWIPT-powered UAV communication against full-duplex active eavesdropper

To further address the energy constraint problem and improve the secrecy performance of unmanned aerial vehicle (UAV) systems in the fifth generation (5G)-enabled Internet of Things, we consider a secure UAV system with simultaneous wireless information and power transfer in the presence of a full-duplex active eavesdropper, which eavesdrops on confidential information and transmits malicious jamming signals simultaneously. In particular, the UAV is powered by a constrained onboard battery that can harvest energy from the ambient radio frequency signals. The trajectory of the UAV, power splitting ratio, and transmitting power are jointly optimized to maximize the secrecy rate of the system. Owing to the non-convexity of the problem, we propose an alternative optimization algorithm by applying successive convex approximation and block coordinate descent methods. The simulation results show the proposed joint optimization algorithm can promote the average secrecy rate of the system as compared with other benchmark schemes.