无人机辅助的安全MEC系统中的能耗优化策略

doi:10.12305/j.issn.1001-506X.2026.02.32

摘要/Abstract

摘要：

为解决无人机（unmanned aerial vehicle，UAV）辅助的移动边缘计算（mobile edge computing, MEC）系统中由于卸载和传输行为的暴露造成的安全隐患，提出一种基于非正交多址接入的UAV辅助MEC隐蔽通信模型。由于UAV电池容量小且充电不便，系统能耗的优化备受关注。针对所提模型，在满足系统隐蔽性要求的条件下，以最小的系统总能耗为目标，对地面设备的发射功率、地面设备的分组、UAV的飞行轨迹、UAV发射人工噪声的功率以及UAV的计算资源分配进行联合优化。仿真结果表明，在相同的隐蔽性约束下，所提安全MEC系统能耗优化策略的能耗小于已有策略。

关键词: 移动边缘计算, 无人机, 非正交多址接入, 隐蔽通信, 能耗

Abstract:

In order to solve the security hazard caused by the exposure of offloading and transmission behaviors in unmanned aerial vehicle （UAV） assisted mobile edge computing （MEC） system, a UAV-assisted MEC covert communication model based on non-orthogonal multiple access is proposed. Due to the small battery capacity and inconvenient charging of UAVs, energy consumption optimization of the systems is of great concern. Regarding the proposed model, under the condition of meeting the system's concealment requirments, the goal is to achieve the minimum total system enenrgy consumption. Grouping of ground devices, flight trajectory of UAVs, the power of the artificial noise transmitted by UAVs, and allocation of UAV computing resources is achieved. Simulation results show that under the same convert constraints, the energy consumption of the proposed energy consumption optimization strategy for safe MEC systems is lower than the existing strategies.

Key words: mobile edge computing （MEC）, unmanned aerial vehicle （UAV）, non-orthogonal multiple access, covert communication, energy consumption

中图分类号:

TN 92

杨许鑫, 季薇. 无人机辅助的安全MEC系统中的能耗优化策略[J]. 系统工程与电子技术, 2026, 48(2): 719-726.

Xuxin YANG, Wei JI. Optimization strategy for energy consumption in unmanned aerial vehicle assisted safe MEC systems[J]. Systems Engineering and Electronics, 2026, 48(2): 719-726.

图/表 5

参考文献 31

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