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Computation efficiency maximization for secure UAV-enabled mobile edge computing networks

机译:支持安全UAV的移动边缘计算网络的计算效率最大化

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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. (C) 2021 Elsevier B.V. All rights reserved.
机译:本文设计了一个无人驾驶飞行器(UAV)的移动边缘计算(MEC)系统。 UAV的主要工作是与多个接地用户进行通信,同时它应该通过将干扰信号发送到潜在的窃听器来满足质量和安全性。 我们的目标是最大限度地提高安全计算效率,而受UAV的轨迹,最低秘密率和预期任务位。 由于原始问题的非凸起,我们利用块坐标并将原始问题转换为一个易区问题。 然后,我们通过联合优化传输功率和UAV的轨迹,提出了一种两级替代优化算法,可以实现安全计算效率最大化。 仿真结果表明,与其他基准方案相比,我们所提出的算法消耗了更少的能量。 (c)2021 elestvier b.v.保留所有权利。

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