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

文献类型：期刊论文

作者Luo, Jihao1; Fei, Zesong1; Wang, Xinyi1; Zhao, Le1; Li, Bin2; Zhou, Yiqing3,4
刊名IEEE WIRELESS COMMUNICATIONS LETTERS
出版日期2024-11-01
卷号13期号:11页码:3137-3141
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
ISSN号2162-2337
DOI10.1109/LWC.2024.3456247
英文摘要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.
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
语种英语
WOS记录号WOS:001351912400018
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/39475]  
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.

入库方式： OAI收割

来源：计算技术研究所

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