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Joint Trajectories and Power Allocation Design for Dual UAV-Enabled Secrecy SWIPT Networks

By Feng Zhou, Rugang Wang, and Jinhong Bian
Progress In Electromagnetics Research M, Vol. 87, 73-82, 2019


In this paper, a dual unmanned aerial vehicle (UAV)-enabled secure communication system with simultaneous wireless and information and power transfer (SWIPT) has been investigated. Specifically, assuming that the energy receivers (ERs) may be potential eavesdroppers (Eves), we aim to maximize the minimum secrecy rate among multiply legitimate receivers (LRs) within each period by jointly adjusting the UAVs' trajectories and power control (PC). Since the resulting optimization problem is very difficult to solve due to highly non-convex objective and constraints, we equivalently transform it into a more tractable problem via successive convex approximation (SCA) and constrained concave-convex procedure (CCCP), then propose an iterative method. The simulation results show that the proposed joint optimization algorithm achieves significantly better performance than the conventional algorithms.


Feng Zhou, Rugang Wang, and Jinhong Bian, "Joint Trajectories and Power Allocation Design for Dual UAV-Enabled Secrecy SWIPT Networks," Progress In Electromagnetics Research M, Vol. 87, 73-82, 2019.


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