Fairness-Aware Task Scheduling and Resource Allocation in UAV-Enabled Mobile Edge Computing Networks

Unmanned aerial vehicle (UAV)-enabled mobile edge computing (MEC) has recently emerged to provide data processing and caching in the infrastructure-less areas. However, the limited battery capacity of UAV constrains its endurance time, and makes energy efficiency one of the top priorities in impleme...

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Veröffentlicht in:	IEEE transactions on green communications and networking 2021-12, Vol.5 (4), p.2174-2187
Hauptverfasser:	Zhao, Mingxiong, Li, Wentao, Bao, Lingyan, Luo, Jia, He, Zhenli, Liu, Di
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms bits scheduling Complexity Data processing Edge computing Energy consumption fairness Fatigue limit Iterative algorithms Iterative methods Mobile computing Nonlinear programming Processor scheduling Resource allocation Resource management Resource scheduling Run time (computers) Servers Task analysis task decision Task scheduling Time division multiple access trajectory Trajectory optimization UAV Unmanned aerial vehicles
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