首页|Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks

Graph neural network-based scheduling for multi-UAV-enabled communications in D2D networks

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In this paper,we jointly design the power control and position dispatch for Multi-Unmanned Aerial Vehicle(UAV)-enabled communication in Device-to-Device(D2D)networks.Our objective is to maximize the total transmission rate of Downlink Users(DUs).Meanwhile,the Quality of Service(QoS)of all D2D users must be satisfied.We comprehensively considered the interference among D2D communications and downlink trans-missions.The original problem is strongly non-convex,which requires high computational complexity for traditional optimization methods.And to make matters worse,the results are not necessarily globally optimal.In this paper,we propose a novel Graph Neural Networks(GNN)based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity manner.Particularly,we first construct a GNN-based model for the proposed network,in which the transmission links and interference links are formulated as vertexes and edges,respectively.Then,by taking the channel state information and the coordinates of ground users as the inputs,as well as the location of UAVs and the transmission power of all transmitters as outputs,we obtain the mapping from inputs to outputs through training the parameters of GNN.Simulation results verified that the way to maximize the total transmission rate of DUs can be extracted effectively via the training on samples.Moreover,it also shows that the performance of proposed GNN-based method is better than that of traditional means.

Unmanned aerial vehicleD2D communicationGraph neural networkPower controlPosition planning

Pei Li、Lingyi Wang、Wei Wu、Fuhui Zhou、Baoyun Wang、Qihui Wu

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Nanjing University of Posts and Telecommunications,Nanjing,210023,China

Nanjing University of Aeronautics and Astronautics,Nanjing,210016,China

国家自然科学基金国家自然科学基金江苏省自然科学基金open project of the Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Industry and In中国博士后科学基金Jiangsu Planned Projects for Postdoctoral Research Funds

6190123161971238BK20180757KF202021022020M6714802020Z295

2024

10.1016/j.dcan.2022.05.014

数字通信与网络(英文)

数字通信与网络(英文)

ISSN：
年,卷(期)：2024.10(1)
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