摘要
星间链路是通信卫星互联成网的主要手段,当节点中一颗卫星星间链路通信异常时需经地面干预才可恢复,严重影响系统可用度;而若星间通信网络具备自主管理能力则可弥补上述不足。针对部署于静止轨道具有全球通信覆盖能力的多星通信网络,提出了一种基于多主体协同机器学习的星间链路网络自维护策略,保障通信节点卫星异常时重点地区高可用性不间断通信服务能力。
Inter-satellite link is a major resort to interconnect communication satellite network.While one of the connected satellites may suffer a link abnormality that requires ground operation intervention to recover,thus severely compromising the system availability.However,onboard autonomous management abilities for the inter-satellite network may well compensate such shortcomings.A multi-agent-machine-learning-based autonomous maintenance strategy is proposed for such networks that are composed of communication satellites on the geostationary Earth orbit(GEO)with global coverages,to guarantee uninterrupted communication service for important areas with high communication availability requirements.
作者
潘瑞雪
杜一凡
杨牧
PAN Ruixue;DU Yifan;YANG Mu(Shanghai Institute of Satellite Engineering,Shanghai 201109,China)
出处
《电讯技术》
北大核心
2023年第3期357-362,共6页
Telecommunication Engineering
关键词
通信卫星
星间链路
机器学习
自维护
communication satellite
inter-satellite link
machine learning
autonomous maintenance
