Real-Time Resilient Traffic Prediction for LEO Access Networks via Adjacent Satellite Collaboration

Emerging Low Earth Orbit (LEO) satellite networks, represented by Starlink, have developed a rapidly growing user base and increasing network traffic. Accurate and reliable satellite traffic prediction is essential for optimizing network performance and resource management. However, the high-speed motion of satellites and the uneven geographic distribution of users pose significant challenges to satellite network traffic prediction. Yet, empowered by Artificial Intelligence (AI) and inter-satell