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Completion Time Minimization for UAV-Assisted Mobile-Edge Computing Systems
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DOI：10.1109/TVT.2021.3112853.png)
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摘要
En 中文
The explosive computation demands in the Internet of Things (IoT) have triggered the research interests on unmanned aerial vehicle (UAV) assisted mobile-edge computing (MEC) systems even though there are still many challenges, such as computing delay requirement, multi-UAV cooperation, and resource management. This letter focuses on the computing delay issue in MEC systems assisted by multiple UAVs with the goal of task completion time minimization. In particular, both the partial offloading and binary offloading modes are considered by jointly optimizing time slot size, terminal devices scheduling, computation resource allocation, and UAVs' trajectories. Particularly, an non-LoS channel model is adopted for UAV-ground communication. To handle the formulated problems, we develop alternating optimization algorithms by invoking the successive convex approximation method, Karush-Kuhn-Tucker conditions and penalized method. Numerical results show that the completion time is significantly decreased by the proposed algorithms.
Keyword:
Task analysis
Unmanned aerial vehicles
Fading channels
Minimization
Resource management
Computational modeling
Approximation algorithms
Internet of Things
mobile edge computing
trajectory optimization
UAV communication
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
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
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