  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.
