论文标题
人工智能协助下一代网络依靠无人机
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs
论文作者
论文摘要
人工智能（AI）辅助无人机（UAV）辅助下一代网络针对动态环境提出。在支持AI的无人机无线网络（UAWN）中，多个无人机被用作航空站，可以通过收集有关用户的位置和电视连接需求的信息，从环境中学习并根据用户收到的反馈来快速地适应动态环境。此外，AI可以使无人机群之间的相互作用用于系统的合作优化。作为AI框架的好处，可能会规避常规UAWN的几个挑战，从而提高网络性能，提高可靠性和敏捷的适应性。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会。
Artificial intelligence (AI) assisted unmanned aerial vehicle (UAV) aided next-generation networking is proposed for dynamic environments. In the AI-enabled UAV-aided wireless networks (UAWN), multiple UAVs are employed as aerial base stations, which are capable of rapidly adapting to the dynamic environment by collecting information about the users' position and tele-traffic demands, learning from the environment and acting upon the feedback received from the users. Moreover, AI enables the interaction amongst 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.
