In this paper, we investigate the problem of opportunistic UAV transmission in D2D communication networks. UAVs are supposed to help transmissions of D2D users when they are employed to perform flying missions with given trajectories. On one hand, users can select appropriate UAVs as real-time relays according to the topology in the sky at different moments. On the other hand, due to flight characteristics, UAVs can receive the uploading data when they are approaching transmitters, and then offload the data to corresponding receivers in the appropriate later time. Users need to select and adjust transmission modes dynamically, including multi-UAV selection, time allocation of data loading and offloading, as well as the competition of channel access. We design a hierarchical game model to analyze the complicated relationship among devices. Specifically, a predictable dynamic matching market is constructed to address the issue of UAV selection and time allocation, while the problem of channel access is studied by the congestion game. After that, distributed algorithms are proposed and the properties of convergence are discussed. Simulation results confirm that the effective opportunistic UAV transmission approach can improve the global network significantly, while unreasonable optimization approaches may lead to the decline of the transmission performance.

中文翻译：

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动态多无人机在设备到设备通信网络中的机会利用

在本文中，我们研究了 D2D 通信网络中机会主义无人机传输的问题。当无人机被用来执行具有给定轨迹的飞行任务时，应该帮助 D2D 用户的传输。一方面，用户可以根据不同时刻天空中的拓扑结构，选择合适的无人机作为实时中继。另一方面，由于飞行特性，无人机可以在接近发射器时接收上传的数据，然后在适当的稍后时间将数据卸载到相应的接收器。用户需要动态选择和调整传输模式，包括多无人机选择，数据加载和卸载的时间分配，以及信道接入的竞争。我们设计了一个层次博弈模型来分析设备之间的复杂关系。具体而言，构建了一个可预测的动态匹配市场来解决无人机选择和时间分配问题，同时通过拥塞博弈研究信道访问问题。之后，提出了分布式算法并讨论了收敛性。仿真结果证实，有效的机会主义无人机传输方法可以显着改善全局网络，而不合理的优化方法可能会导致传输性能的下降。