.png){kind=icon}
返回
Joint Computation Offloading and Trajectory Planning for UAV-Assisted Edge Computing
.png){kind=icon}
PRE
AI
DOI：10.1109/TWC.2021.3067163.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With excellent flexibility, unmanned aerial vehicles (UAVs) can act as airborne computing servers to assist smart terminals (STs) with their computationally-intense and delay-sensitive tasks. This paper presents a new UAV-assisted edge computing framework, which jointly optimizes the trajectory and CPU frequency of a fixed-wing UAV, and the offloading schedule to minimize the energy consumption of the UAV. The key idea is that we reveal the condition for the convexity of the optimization, when the UAV flies a linear trajectory. Under the condition, alternating optimization- and successive convex approximation (SCA)-based algorithms are developed to efficiently achieve the globally optimal linear trajectory, CPU configuration, and offloading schedule. Another important aspect is that we prove the SCA-based algorithm can achieve a local optimum satisfying the Karush-Kuhn-Tucker (KKT) conditions, when the revealed condition is unmet or the UAV flies horizontally in two dimensions. By analyzing the KKT conditions, we also unveil the underlying patterns for the optimal CPU frequency and offloading schedule. Extensive simulations validate the patterns and corroborate the merits of our schemes.
Keyword:
Task analysis
Unmanned aerial vehicles
Trajectory
Energy consumption
Servers
Schedules
Wireless communication
Edge computing
UAV
computation offloading
trajectory planning
time allocation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10.7
论文数:
1.3W
被引数:
5.3W
机构
引用论文
Computation Rate Maximization in UAV-Enabled Wireless-Powered Mobile-Edge Computing Systems支持无人机的无线移动边缘计算系统中的计算速率最大化
OAAI
.png){kind=icon}
OAAI分享收藏Computation-Efficient Offloading and Trajectory Scheduling for Multi-UAV Assisted Mobile Edge Computing多无人机辅助移动边缘计算的高效卸载和轨迹调度
PREAI
分享收藏Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks支持无人机的移动边缘计算网络中的节能资源分配OAAI
OAAI分享收藏Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment基于干扰对齐的缓存无人机辅助超密集网络安全传输OAAI
OAAI分享收藏Joint Offloading and Trajectory Design for UAV-Enabled Mobile Edge Computing Systems支持无人机的移动边缘计算系统的联合卸载和轨迹设计
PREAI
分享收藏Mobile Edge Computing via a UAV-Mounted Cloudlet: Optimization of Bit Allocation and Path PlanningOAAI
OAAI分享收藏
查看更多内容