GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks

doi:10.1109/LWC.2024.3456247

	GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks
	Luo, Jihao 1; Fei, Zesong 1; Wang, Xinyi 1; Zhao, Le 1; Li, Bin 2; Zhou, Yiqing 3,4
	2024-11-01
发表期刊	IEEE WIRELESS COMMUNICATIONS LETTERS
ISSN	2162-2337
卷号	13 期号:11 页码:3137-3141
摘要	Mutual interference has been a critical issue in multiple unmanned aerial vehicles (multi-UAV) networks. As an advanced technology, digital twin (DT) maps physical entities into virtual domain, enables real-time monitoring and dynamic updates, thereby enhancing the adaptability and performance of multi-UAV networks. In this letter, we investigate joint spectrum allocation and power control for a multi-UAV radar sensing network, where multiple unmanned aerial vehicles (UAVs) simultaneously perform radar sensing separately to detect targets and avoid collision. By modeling the multi-UAV network as a graph, we employ graph neural network (GNN) to capture environmental features, construct the DT network, and address resource allocation issues. In particular, we propose a message-passing neural network based spectrum allocation method and a graph attention network based power control method to maximizing the minimum radar echo signal-to-interference-plus-noise ratio (SINR) among all UAVs. Simulation results show that the proposed DT-enhanced GNN based resource allocation method can significantly improve the minimum SINR and extend the sensing coverage.
关键词	Resource management Autonomous aerial vehicles Radar Interference Sensors Signal to noise ratio Servers Unmanned aerial vehicles radar sensing digital twin graph neural network spectrum allocation power control
DOI	10.1109/LWC.2024.3456247
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2021YFB2900200] ; National Natural Science Foundation of China[U20B2039] ; National Natural Science Foundation of China[62301032] ; Postdoctoral Fellowship Program of CPSF[GZC20233417]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001351912400018
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39476
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Xinyi
作者单位	1.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Peoples R China 3.Inst Comp Technol, Chinese Acad Sci, State Key Lab Processors, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Luo, Jihao,Fei, Zesong,Wang, Xinyi,et al. GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks[J]. IEEE WIRELESS COMMUNICATIONS LETTERS,2024,13(11):3137-3141.
APA	Luo, Jihao,Fei, Zesong,Wang, Xinyi,Zhao, Le,Li, Bin,&Zhou, Yiqing.(2024).GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks.IEEE WIRELESS COMMUNICATIONS LETTERS,13(11),3137-3141.
MLA	Luo, Jihao,et al."GNN-Based Resource Allocation for Digital Twin-Enhanced Multi-UAV Radar Networks".IEEE WIRELESS COMMUNICATIONS LETTERS 13.11(2024):3137-3141.