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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Vydané v:	IEEE transactions on communications Ročník 71; číslo 1; s. 1
Hlavní autori:	Chen, Jingxuan, Cao, Xianbin, Yang, Peng, Xiao, Meng, Ren, Siqiao, Zhao, Zhongliang, Wu, Dapeng Oliver
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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