With the impressive achievements of chatGPT and Sora, generative artificial intelligence (GAI) has received increasing attention. Not limited to the field of content generation, GAI is also widely used to solve the problems in wireless communication scenarios due to its powerful learning and generalization capabilities. Therefore, we discuss key applications of GAI in improving unmanned aerial vehicle (UAV) communication and networking performance in this article. Specifically, we first review the key technologies of GAI and the important roles of UAV networking. Then, we show how GAI can improve the communication, networking, and security performances of UAV systems. Subsequently, we propose a novel framework of GAI for advanced UAV networking, and then present a case study of UAV-enabled spectrum map estimation and transmission rate optimization based on the proposed framework to verify the effectiveness of GAI-enabled UAV systems. Finally, we discuss some important open directions.

翻译：随着ChatGPT和Sora取得的显著成就，生成式人工智能（GAI）日益受到关注。生成式人工智能不仅局限于内容生成领域，其强大的学习与泛化能力还使其被广泛应用于解决无线通信场景中的问题。因此，本文探讨了生成式人工智能在提升无人机通信与组网性能方面的关键应用。具体而言，我们首先回顾了生成式人工智能的关键技术以及无人机组网的重要作用；随后，展示了生成式人工智能如何改善无人机系统的通信、组网及安全性能；接着，提出了一种面向先进无人机网络的生成式人工智能新型框架，并基于该框架给出了无人机辅助的频谱地图估计与传输速率优化的案例研究，以验证生成式人工智能赋能无人机系统的有效性；最后，探讨了一些重要的开放研究方向。