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2019-12-06
Joint Trajectories and Power Allocation Design for Dual UAV-Enabled Secrecy SWIPT Networks
By
Feng Zhou,

    Dr. Feng Zhou

    School of Information Technology

    Yancheng Institute of Technology

    China

    Homepage

Rugang Wang,

    Dr. Rugang Wang

    School of Information Technology

    Yancheng Institute of Technology

    China

    Homepage

Jinhong Bian

    Dr. Jinhong Bian

    Research Center of Yancheng City Optical Fiber Sensing and Applied Engineering Technology

    China

    Homepage

Progress In Electromagnetics Research M, Vol. 87, 73-82, 2019
doi:10.2528/PIERM19092802 | Google Scholar

Abstract
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.
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Citation
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.
doi:10.2528/PIERM19092802
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