As the improvement in electronics and communication technology, unmanned aerial vehicles (UAVs) play a prominent part for task executions in numerous scenarios. Spectrum resource is seen as a significant factor which may affect the cooperation of UAVs. In this article, the spectrum allocation for task-driven UAV communication networks is investigated. Due to the task-driven essence, different kinds of task lead to different coupling relationships between UAVs in spectrum allocation. By exploring the task-driven essence, some featured challenges and requirements for task-driv-en spectrum allocation are discussed. Following the attractive fact that game theory can model the complex interactions among multiple players, the game-based optimization framework, which consists of task decomposition, task-driven feature requirements, game formulation and distributed algorithm, is developed to tackle the task-driven spectrum allocation problem. Next, some featured game models are proposed and some case studies are presented and discussed. Finally, future discussion and open issues are given to shed light on future investigation.

中文翻译：

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利用博弈论的任务驱动型无人机通信网络的频谱分配

随着电子和通信技术的进步，无人机（UAV）在众多场景中的任务执行中发挥着突出的作用。频谱资源被视为可能影响无人机协作的重要因素。在本文中，研究了任务驱动的无人机通信网络的频谱分配。由于任务驱动的本质，不同类型的任务导致无人机之间在频谱分配上的耦合关系不同。通过探索任务驱动的本质，讨论了任务驱动频谱分配的一些特色挑战和要求。遵循博弈论可以对多个玩家之间的复杂交互进行建模的吸引人的事实，基于游戏的优化框架由任务分解、任务驱动的特征需求、开发游戏公式和分布式算法以解决任务驱动的频谱分配问题。接下来，提出了一些特色游戏模型，并介绍和讨论了一些案例研究。最后，给出了未来的讨论和未解决的问题，以阐明未来的调查。