Satellite Terrestrial

Satellite-terrestrial networks integrate satellite and ground-based communication systems to provide seamless global connectivity, focusing on overcoming challenges like efficient data routing and reliable signal transmission in diverse environments. Current research emphasizes the use of artificial intelligence, particularly machine learning algorithms (e.g., federated learning, reinforcement learning) and large language models, to optimize network management, resource allocation, and security in these complex systems. This work is crucial for enhancing the performance and reliability of next-generation communication networks, impacting various sectors including maritime communications, remote area connectivity, and the development of mega-constellations.