论文标题
优化3D空间中的多UAV部署，以最大程度地减少启用无人机的移动边缘计算系统中的任务完成时间
Optimizing Multi-UAV Deployment in 3D Space to Minimize Task Completion Time in UAV-Enabled Mobile Edge Computing Systems
论文作者
论文摘要
在无人驾驶飞机（UAV）启用的移动边缘计算（MEC）系统中，无人机可以携带边缘服务器来帮助地面用户设备（UES）将其计算任务卸载到无人机以进行执行。本文旨在最大程度地减少无人机完成卸载任务所需的总时间，同时优化无人机的三维（3D）部署，包括它们的飞行高度和水平位置。尽管公式的优化是一种混合整数非线性编程，但我们将其转换为凸问题，并开发基于连续的凸近似（SCA）算法以有效解决它。模拟结果表明，与传统算法相比，一组无人机的水平和垂直位置的关节优化可以取得更好的性能。
In Unmanned Aerial Vehicle (UAV)-enabled mobile edge computing (MEC) systems, UAVs can carry edge servers to help ground user equipment (UEs) offloading their computing tasks to the UAVs for execution. This paper aims to minimize the total time required for the UAVs to complete the offloaded tasks, while optimizing the three-dimensional (3D) deployment of UAVs, including their flying height and horizontal positions. Although the formulated optimization is a mixed integer nonlinear programmming, we convert it to a convex problem and develop a successive convex approximation (SCA) based algorithm to effectively solve it. The simulation results show that the joint optimization of the horizontal and the vertical position of a group of UAVs can achieve better performance than the traditional algorithms.
