Computation Offloading and Trajectory Design for UAV-assisted Mobile Computing Systems

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Conference Proceeding
2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020, 00, pp. 528-533
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This paper presents a new mobile computing framework where the smart terminals (STs) complete their tasks with the assistance of the unmanned aerial vehicle (UAV). While ensuring that the STs' tasks are processed by their deadlines, the UAV energy consumption is minimized by jointly optimizing the offloading time, offloading volume, as well as the CPU frequency and trajectory of the UAV. We establish the specific geometric condition of the UAV altitude and STs locations under which the problem of interest exhibits convexity, and propose an alternating optimization algorithm to obtain the globally optimal solution. In other cases, the problem is non-convex, which is challenging to solve. Leveraging successive convex approximation (SCA) technique, an efficient iterative algorithm is then developed to reap at least a quality solution satisfying the Karush-Kuhn-Tucker (KKT) conditions. Extensive simulation results demonstrate the merits of the proposed schemes.
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