Space Air Ground Integrated Network

Space-Air-Ground Integrated Networks (SAGINs) aim to create seamless global connectivity by integrating satellite, aerial, and terrestrial communication systems, addressing coverage gaps and enhancing data transmission, particularly in remote areas. Current research heavily emphasizes the use of artificial intelligence, including deep reinforcement learning, federated learning, and large language models, to optimize resource allocation, manage network traffic, and enhance security in these complex, heterogeneous networks. This research is significant for enabling advanced applications like the Internet of Things and intelligent transportation systems, while also pushing the boundaries of AI and network optimization techniques.