Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method

doi:10.1016/j.adhoc.2022.102981

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	Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method
	Xue, Jianbin; Wu, Qingqing; Zhang, Haijun
刊名	Ad Hoc Networks
	2022-11-01
卷号	136
关键词	Antennas computation offloading Convex optimization Cost effectiveness Deep learning Energy utilization Learning algorithms Learning systems Markov processes Mobile edge computing Multi agent systems Power control Reinforcement learning Unmanned aerial vehicles (UAV) Aerial vehicle Computation offloading Costs Optimization Deep reinforcement learning Edge computing Multi-access edge computing Multiaccess Reinforcement learnings Unmanned aerial vehicle User equipments
ISSN号	1570-8705
DOI	10.1016/j.adhoc.2022.102981
英文摘要	In the Unmanned Aerial Vehicle (UAV)-assisted mobile edge computing (MEC) system, most existing studies do not effectively consider the task offloading of user equipment (UEs) and the economic issues related to MEC service providers. Firstly, this paper considers the UE offloading cost and the pricing of MEC server, and establishes the UE, UAV cost and UAV revenue model. For the established non-convex optimization problem, it is further described as a Markov decision process (MDP), and a multi-agent reinforcement deep learning algorithm (MADRL) is proposed to minimize the system energy consumption by jointly optimizing power control, resource allocation and UE association, so as to effectively improve the overall revenue of UAV under the premise of ensuring the system performance. The simulation results show that our scheme can effectively improve the UAV revenue, and is significantly better than the random scheme without energy consumption optimization. In addition, the revenue obtained by our design scheme is 10.7% higher than that of the comparison scheme. © 2022
WOS研究方向	Computer Science ; Telecommunications
语种	英语
出版者	Elsevier B.V.
WOS记录号	WOS:000848485300007
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/159734]
专题	研究生院
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Xue, Jianbin,Wu, Qingqing,Zhang, Haijun. Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method[J]. Ad Hoc Networks,2022,136.
APA	Xue, Jianbin,Wu, Qingqing,&Zhang, Haijun.(2022).Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method.Ad Hoc Networks,136.
MLA	Xue, Jianbin,et al."Cost optimization of UAV-MEC network calculation offloading: A multi-agent reinforcement learning method".Ad Hoc Networks 136(2022).