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Joint Worst Case Secrecy Rate and UAV Propulsion Energy Optimization via Robust Resource Allocation in Uncertain Adversarial Networks

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Document pages: 12 pages

Abstract: The mobile relaying technique is a critical enhancing technology in wirelesscommunications due to a higher chance of supporting the remote user from thebase station (BS) with better quality of service. This paper investigatesenergy-efficient (EE) mobile relaying networks, mounted on an unmanned aerialvehicle (UAV), while the unknown adversaries try to intercept the legitimatelink. We aim to optimize robust transmit power both UAV and BS along, relayhovering path, speed, and acceleration. The BS sends legitimate information,which is forwarded to the user by the relay. This procedure is defined asinformation-causality-constraint (ICC). We jointly optimize the worst casesecrecy rate (WCSR) and UAV propulsion energy consumption (PEC) for a finitetime horizon. We construct the BS-UAV, the UAV-user, and the UAV-adversarychannel models. We apply the UAV PEC considering UAV speed and acceleration. Atlast, we derive EE UAV relay-user maximization problem in the adversarialwireless networks. While the problem is non-convex, we propose an iterative andsub-optimal algorithm to optimize EE UAV relay with constraints, such as ICC,trajectory, speed, acceleration, and transmit power. First, we optimize both BSand UAV transmit power, and hovering speed for known UAV path planning andacceleration. Using the optimal transmit power and speed, we obtain the optimaltrajectory and acceleration. We compare our algorithm with existing algorithmsand demonstrate the improved EE UAV relaying communication for our model.

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