智能化卫星互联网运维与管理:现状与机遇

Intelligent Satellite Internet Maintenance and Management:Progress and Opportunities

在多层异构的卫星互联网中,时变的网络拓扑、动态的链路质量、不稳定的卫星节点、海量涌现的高维数据给网络的运维与管理带来巨大挑战。人工智能技术由于具备从海量历史数据中学习或从与动态环境的交互反馈中学习的能力,被认为是应对上述挑战的有效方案。在网络资源管理、业务流量管理和网络状态管理3个方面重点调研人工智能技术在卫星网络运维与管理领域的研究现状,在此基础上深入分析现有方法存在的不足,并讨论未来值得关注的研究方向。

In multi-layer heterogeneous satellite internet,the time-varying topology,dynamic channel quality,unstable satellites and emerging high-dimensional data present daunting challenges to its maintenance and management system.Thanks to its ability to learn from massive historical data or interaction with dynamic environment,artificial intelligence has been considered to be a promising solution to meet the aforementioned challenge.In this paper,we reviewed the research status of intelligent satellite internet maintenance and management technology on the following three aspects,network resource management,traffi c fl ow management and network state management.Based on the above introduction,we further discussed the limitation of existing research and discussed promising future research direction of this fi eld as well.