arXiv (Cornell University) · 2020 · 80 citations · 26 references
EngineeringAerospace EngineeringOptimizationUnmanned Aircraft SystemsWireless CommunicationsCommunication LinksConvex OptimizationCooperative CommunicationPhysical Layer SecurityPower OptimizationSecure Mobile CommunicationAerial Relay NetworksEnergy Efficiency DesignEnergy Optimization AlgorithmsEnergy-efficient CommunicationNetwork Energy OptimizationPower Allocation In Cooperative NetworksRelay SelectionWireless Communication Systems
This paper investigates the problem of secure energy efficiency maximization for a reconfigurable intelligent surface (RIS) assisted uplink wireless communication system, where an unmanned aerial vehicle (UAV) equipped with an RIS works as a mobile relay between the base station (BS) and a group of users. We focus on maximizing the secure energy efficiency of the system via jointly optimizing the UAV's trajectory, the RIS's phase shift, users' association and transmit power. To tackle this problem, we divide the original problem into three sub-problems, and propose an efficient iterative algorithm. In particular, the successive convex approximation method (SCA) is applied to solve the nonconvex UAV trajectory, the RIS's phase shift, and transmit power optimization sub-problems. We further provide two schemes to simplify the solution of phase and trajectory sub-problem. Simulation results demonstrate that the proposed algorithm converges fast, and the proposed design can enhance the secure energy efficiency by up to 38\% gains, as compared to the traditional schemes without any RIS.
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