Deep Reinforcement Learning Based Resource Allocation in Multi-UAV-Aided MEC Networks

Resource allocation for mobile edge computing (MEC) in unmanned aerial vehicle (UAV) networks has been a popular research issue. Different from existing works, this paper considers a multi-UAV-aided uplink communication scenario and investigates a resource allocation problem of minimizing the total...

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Veröffentlicht in:	IEEE transactions on communications Jg. 71; H. 1; S. 1
Hauptverfasser:	Chen, Jingxuan, Cao, Xianbin, Yang, Peng, Xiao, Meng, Ren, Siqiao, Zhao, Zhongliang, Wu, Dapeng Oliver
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Computational geometry Convexity Deep learning DRL Edge computing Energy consumption Machine learning Mathematical programming MEC Mixed integer Mobile computing movement control Network latency Power control Resource allocation Series (mathematics) UAV Unmanned aerial vehicles
ISSN:	0090-6778, 1558-0857
Online-Zugang:	Volltext
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