AI-SPACE: A Cloud-Edge Aggregated Artificial Intelligent Architecture for Tiansuan Constellation-Assisted Space-Terrestrial Integrated Networks
Xiaobin Xu, Qi Wang, Yanzhao Hou, Shangguang Wang
Abstract
Space-Terrestrial Integrated Networks (STINs) and ubiquitous artificial intelligence are considered as important infrastructures of 6G networks. Due to the long transmission distance and high moving speed of on-orbit satellites, STINs face the challenges of unreliable data transmission, untimely data processing, and low utilization of satellite resources. Tiansuan constellation implements the edge computing platform, which builds the foundation of edge intelligence for STINs. This article proposes a cloud-edge aggregated artificial intelligent architecture for STINs. With the assistance of Tiansuan constellation, an implementation strategy of the intelligent network architecture is proposed. Furthermore, three use cases are performed and discussed to achieve intelligent data transmission, intelligent remote sensing, and intelligent network slicing. Simulation results demonstrate that the proposed architecture can fully utilize the resource of STINs and improve the overall network throughput effectively.