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低轨巨型星座智能组网技术综述-“空天地一体化智能网联”专刊

龚李赠1,张文龙1,陈全1,杨磊1,姚雯2   

  1. 1. 国防科技大学
    2. 军事科学院
  • 收稿日期:2025-10-17 修回日期:2026-03-20 发布日期:2026-03-23
  • 通讯作者: 陈全
  • 基金资助:
    国家自然科学基金;湖南省自然科学基金

A Survey of Intelligent Networking Technologies for LEO Mega-Constellations

  • Received:2025-10-17 Revised:2026-03-20 Published:2026-03-23
  • Contact: Quan CHEN

摘要: 随着低轨巨型星座的快速发展,卫星网络呈现规模庞大、拓扑高动态等特点,智能组网技术已成为研究热点。本文围绕该技术,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、星地接入策略、星间路由策略、多维资源智能管理等五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目标的动态管理方法,探讨了动态拓扑与移动性管理。紧接着,阐述了星地接入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以及多维资源智能管理方法。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。

关键词: 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, 星地接入, 星间路由, 多维资源管理

Abstract: With the rapid development of Low Earth Orbit (LEO) mega-constellation networks, satellite communication 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 networking 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, satellite–ground access strategies, inter-satellite routing strategies, and intelligent management of multidimensional resources. 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 dynamic topology and mobility management, tracing the evolution from traditional static management to dynamic schemes oriented to multidimensional resources. Third, for satellite–ground access 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 intelligent management of multidimensional resources from the perspectives of static and dynamic resource management. On this basis, we analyze the remaining challenges in intelligent networking for LEO mega-constellations, critically assess the effectiveness and limitations of current techniques, and outline future research directions.

Key words: LEO mega-constellations, intelligent networking technologies, traffic awareness and prediction, dynamic topology and mobility management, satellite-ground access, inter-satellite routing, management of multidimensional resources.

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