In this article, we propose artificial intelligence (AI) enabled unmanned aerial vehicle (UAV) aided wireless networks (UAWN) for overcoming the challenges imposed by the random fluctuation of wireless channels, blocking and user mobility effects. In UAWN, multiple UAVs are employed as aerial base stations, which are capable of promptly adapting to the randomly fluctuating environment by collecting information about the users' position and tele-traffic demands, learning from the environment and acting upon the satisfaction level feedback received from the users. Moreover, AI enables the interaction among a swarm of UAVs for cooperative optimization of the system. As a benefit of the AI framework, several challenges of conventional UAWN may be circumvented, leading to enhanced network performance, improved reliability and agile adaptivity. As a further benefit, dynamic trajectory design and resource allocation are demonstrated. Finally, potential research challenges and opportunities are discussed.

中文翻译：

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依靠无人机的人工智能辅助的下一代网络

在本文中，我们提出了支持人工智能（AI）的无人机（UAV）辅助无线网络（UAWN），以克服无线信道的随机波动，阻塞和用户移动性带来的挑战。在UAWN中，多个UAV被用作空中基站，它们能够通过收集有关用户位置和远程交通需求的信息，从环境中学习并根据从用户处获得的满意度反馈来迅速适应随机波动的环境。用户。而且，AI使得无人机群之间可以进行交互，以进行系统的协同优化。作为AI框架的一项优势，可以规避传统UAWN的几个挑战，从而提高网络性能，提高可靠性和敏捷适应性。作为进一步的好处，展示了动态轨迹设计和资源分配。最后，讨论了潜在的研究挑战和机遇。