UAV-Assisted Relaying and Edge Computing: Scheduling and Trajectory Optimization

In this paper, we study an unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) architecture, in which a UAV roaming around the area may serve as a computing server to help user equipment (UEs) compute their tasks or act as a relay for further offloading their computation tasks to the...

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Vydáno v:IEEE transactions on wireless communications Ročník 18; číslo 10; s. 4738 - 4752
Hlavní autoři: Hu, Xiaoyan, Wong, Kai-Kit, Yang, Kun, Zheng, Zhongbin
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
bandwidth allocation
Channel allocation
Computer architecture
Edge computing
Energy conservation
Energy consumption
Iterative methods
Mobile computing
mobile edge computing
Optimization
Relaying
Resource scheduling
Servers
Task analysis
Trajectory
Trajectory optimization
UAV
Unmanned aerial vehicles
ISSN:1536-1276, 1558-2248
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Shrnutí:In this paper, we study an unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) architecture, in which a UAV roaming around the area may serve as a computing server to help user equipment (UEs) compute their tasks or act as a relay for further offloading their computation tasks to the access point (AP). We aim to minimize the weighted sum energy consumption of the UAV and UEs subject to the task constraints, the information-causality constraints, the bandwidth allocation constraints and the UAV's trajectory constraints. The required optimization is nonconvex, and an alternating optimization algorithm is proposed to jointly optimize the computation resource scheduling, bandwidth allocation, and the UAV's trajectory in an iterative fashion. The numerical results demonstrate that significant performance gain is obtained over conventional methods. Also, the advantages of the proposed algorithm are more prominent when handling computation-intensive latency-critical tasks.
Bibliografie:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2019.2928539