低轨巨型星座智能组网技术综述OA
A survey of intelligent networking technologies for low Earth orbit mega-constellations
随着低轨(LEO)巨型星座的快速发展,卫星网络呈规模庞大、拓扑高动态等特点,智能组网技术已成为研究热点.围绕该技术分析了低轨巨型星座的组网特点与挑战,提出了智能组网的总体架构,并重点针对业务感知与业务预测、动态拓扑与移动性管理、波束调度策略、星间路由策略、多维资源智能管理等5个关键方向进行了系统梳理.具体而言,首先综述了传统单星业务预测及新兴多星协同业务预测方法.其次,从传统静态方法到面向多维资源的动态管理方法,探讨了动态拓扑与移动性管理.紧接着,阐述了波束调度策略中的单星与多星协同波束调度方法.然后,对集中式与分布式星间路由策略进行了深入探讨.最后,综述了特定资源管理及多维资源管理方法.在此基础上,分析了当前智能组网技术面临的挑战,评述了其应用效果与局限,并对未来发展进行了展望.
With the rapid development of Low Earth Orbit(LEO)mega-constellation networks,satellite communica-tion systems have become massive in scale with highly dynamic topologies,making intelligent networking a research focal point.This article surveys intelligent networking technologies for LEO mega-constellations,analyzes their net-working characteristics and challenges,proposes an overall architecture for intelligent networking,and systematically reviews five key directions:service awareness and demand prediction,dynamic topology and mobility management,beam scheduling strategies,inter-satellite routing strategies,and intelligent management of multidimensional re-sources.First,we review methods for service awareness and demand prediction,covering traditional single-satellite approaches,AI-based single-satellite approaches,and multi-satellite collaborative prediction.Second,we discuss dy-namic topology and mobility management,tracing the evolution from traditional static management to dynamic schemes oriented to multidimensional resources.Third,for beam scheduling strategies,we describe beam-scheduling methods for single satellites as well as multi-satellite cooperative beam scheduling.Fourth,we examine inter-satellite routing strategies in depth,surveying both centralized and distributed approaches.Finally,we discuss in-telligent management of multidimensional resources from the perspectives of static and dynamic resource manage-ment.On this basis,we analyze the remaining challenges in intelligent networking for LEO mega-constellations,criti-cally assess the effectiveness and limitations of current techniques,and outline future research directions.
龚李赠;张文龙;陈全;杨磊;姚雯
国防科技大学 空天科学学院,长沙 410073||太空系统运行与控制全国重点实验室,长沙 410073国防科技大学 空天科学学院,长沙 410073||太空系统运行与控制全国重点实验室,长沙 410073国防科技大学 空天科学学院,长沙 410073||太空系统运行与控制全国重点实验室,长沙 410073国防科技大学 空天科学学院,长沙 410073||太空系统运行与控制全国重点实验室,长沙 410073军事科学院 国防科技创新研究院,北京 100071
航空航天
低轨巨型星座智能组网技术业务感知与预测动态拓扑与移动性管理波束调度星间路由多维资源管理
low Earth orbit mega-constellationintelligent networking technologytraffic awareness and predic-tiondynamic topology and mobility managementbeam schedulinginter-satellite routingmanagement of mul-tidimensional resources
《航空学报》 2026 (18)
31-52,22
国家自然科学基金(62401597,12002383)湖南省自然科学基金(2024JJ6469) National Natural Science Foundation of China(62401597,12002383)Hunan Provincial Natural Science Foundation(2024JJ6469)
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