… Space-air-ground integrated communication networks and artificial intelligence (AI) play
crit… Considering the real-time optimization under network heterogeneity, we resort to DRL and …

… to make optimal resource management decisions in real time; thus, artificial intelligence (AI)-based …
We focus on RAT selection for vehicles to optimize the overall network throughput. In …

… on terrestrial wireless networks. On the other hand, the emergence of artificial intelligence
(AI… adaptive-optimizing networks in terms of resource management and architecture design [4]. …

… SpaceAir-Ground Integrated Networks (SAGINs). The highly dynamic heterogeneity and time
variability, however, complicate management and optimization … use of artificial intelligence (…

… That is, the optimization goal of the case study is to intelligently make an offloading decision…
the objective of the optimization problem, we model the network decision and state changing …

… networks, a new type of space-air-ground integrated network (SAGIN) has been proposed to
provide threedimensional comprehensive … , network virtualization, and artificial intelligence …

… Then, we introduce a novel network architecture that uses … As a powerful artificial intelligence
tool, machine learning … “Optimizing space-air-ground integrated networks by artificial …

… Furthermore, the application scenarios of Artificial Intelligence (AI) technologies in solving the
… , AI will play a more active role in the optimization of airspace-ground integrated networks. …

… artificial intelligence technology is discussed. Finally, the application of artificial intelligence
technology in the integrated network of … integration network, and it is a solution to the optimal …

… optimization methods or heuristic methods when solving such problems [25], [26]. Therefore,
we consider using DRL methods to optimize … include network artificial intelligence, network …