Agentic Satellite-Augmented Low-Altitude Economy and Terrestrial Networks: A Survey on Generative Approaches

The development of satellite-augmented low-altitude economy and terrestrial networks (SLAETNs) demands intelligent and autonomous systems that can operate reliably across heterogeneous, dynamic, and mission-critical environments. To address these challenges, this article surveys the state-of-the-art literature on enabling agentic artificial intelligence (AI), that is, artificial agents capable of perceiving, reasoning, and acting, through the application of generative AI (GAI) and large language models (LLMs) in SLAETNs. We begin by introducing the architecture and characteristics of SLAETNs, analyzing the challenges that arise in integrating satellite, aerial, and terrestrial components. Then, we present a…

• NN
  National Natural Science Foundation of China

  Awards: U23B2005, 62371047, 62571043
• IT
  Iran Telecommunication Research Center