大规模低轨卫星星座区域划分和负载均衡分段路由策略OA
Region division and load balancing segment routing strategy for large-scale low earth orbit satellite constellations
大规模低轨(LEO)卫星星座中,节点故障、局部业务突增和链路拥塞容易造成星间转发层负载不均衡,进而影响端到端传输性能.针对非均匀业务压力下的星间路由负载均衡问题,提出一种业务压力驱动的高需求区域划分与结构化分段路由算法.该算法利用公开统计数据构造具有空间异构性的地面业务压力背景,并将其映射为卫星节点负载,完成高需求节点标记和高需求区域划分;在此基础上,为不同节点类型分配分段标识(SID),并结合源宿节点位置构造分层航点序列,使业务流尽量绕开高需求区域.基于NS-3平台的重复仿真结果表明,与对比算法相比,所提算法在多数负载区间内具有较低端到端时延和丢包率、较高吞吐量和流量分布指数,并在单链路及多链路故障场景下表现出较快的路由恢复能力.
In large-scale low earth orbit(LEO)constellations,node failures,traffic surges,and link congestion unbalance inter-satellite forwarding loads and degrade end-to-end performance.For the inter-satellite routing load balancing prob-lem under non-uniform service pressure,a traffic-pressure-driven algorithm was proposed for high-demand region parti-tioning and structured segment routing under non-uniform pressure.Public statistics constructed a heterogeneous traffic-pressure profile,mapped it to satellite loads,and marked high-demand nodes for partitioning.It assigned segment ID by node type and built hierarchical waypoints from endpoints to bypass high-demand regions.NS-3 simulations show lower end-to-end delay and packet-loss rate,higher throughput and traffic distribution index(TDI)than benchmarks across most load ranges,and faster recovery under single-and multi-link failures.
郑恺填;陈晨;杜平;俱莹;徐宁
西安电子科技大学通信工程学院,陕西 西安 710071西安电子科技大学通信工程学院,陕西 西安 710071上海卫星互联网研究院有限公司,上海 200120||卫星互联网重点实验室,上海 200120||上海市卫星互联网重点实验室,上海 200120西安电子科技大学通信工程学院,陕西 西安 710071西安电子科技大学通信工程学院,陕西 西安 710071||重庆卫星网络系统研究院有限公司,重庆 401135
信息技术与安全科学
大规模低轨卫星星座负载均衡区域划分SRv6多级航点路由
large-scale LEO satellite constellationsload balancingregion divisionSRv6multi-level waypoint routing
《通信学报》 2026 (8)
1-17,17
国家重点研发计划基金资助项目(No.2025YFF0514803)陕西省重点研发计划基金资助项目(No.2021ZDLGY02-09,No.2023-GHZD-44,No.2023-ZDLGY-54) The National Key Research and Development Program of China(No.2025YFF0514803),The Key Research and Development Program of Shaanxi Province(No.2021ZDLGY02-09,No.2023-GHZD-44,No.2023-ZDLGY-54)
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