Abstract
This paper designs an unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) system. The main work of the UAV is to communicate with multiple ground users, meanwhile it should satisfy the quality and security via sending jamming signal to against the potential eavesdropper. We aim to maximize the secure computation efficiency, subject to the trajectory of the UAV, the minimum secret rate and the expected bits of tasks. Due to the non-convex of the original problem, we exploit the block coordinate and transform the original problem into a tractable problem. We then propose a two-stage alternative optimization algorithm for secure computation efficiency maximization by jointly optimizing the transmission power and UAV’s trajectory. The simulation results show that our proposed algorithms consume much less energy compared to other benchmark schemes.
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