基于环境可靠性预测的低轨卫星网络弹性智能路由技术

陈啸; 纪哲; 吴胜; 姬思敬; 盛敏

doi:10.11959/j.issn.2096-8930.2026005

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基于环境可靠性预测的低轨卫星网络弹性智能路由技术

专题：卫星互联网星座设计与仿真技术 | 更新时间：2026-03-31

- 基于环境可靠性预测的低轨卫星网络弹性智能路由技术
- Resilient Intelligent Routing Technology for LEO Satellite Networks Based on Environmental Reliability Prediction
- 天地一体化信息网络 2026年7卷第1期页码：38-48
- 作者机构：
  
  1.北京邮电大学泛网无线通信教育部重点实验室，北京 100876
  2.西安电子科技大学空天地一体化综合业务网全国重点实验室，陕西西安 710071
- 作者简介：
  
  [ "陈啸（2001- ），男，北京邮电大学博士生，主要研究方向为大规模卫星网络路由技术。" ]
  [ "纪哲（1989- ），女，博士，北京邮电大学副教授，主要研究方向卫星算力网络、空天智能组网和卫星网络资源管理技术等。" ]
  [ "吴胜（1982- ），男，博士，北京邮电大学教授，主要研究方向为迭代检测和解码、信道估计、大规模MIMO和卫星通信等。" ]
  [ "姬思敬（1993- ），男，博士，西安电子科技大学助理研究员，主要研究方向为大规模卫星星座组网方法、星地协同计算理论、多星协同通信技术等。" ]
  [ "盛敏（1975- ），女，博士，西安电子科技大学教授、空天地一体化综合业务网全国重点实验室主任，主要研究方向为空天地一体化组网技术等。" ]
- 基金信息：
  
  国家自然科学基金(62495020;62495024;62201085)
- DOI：10.11959/j.issn.2096-8930.2026005
  中图分类号： TP393
- 收稿：2025-08-20，
  
  修回：2025-10-12，
  
  纸质出版：2026-03-20
- 稿件说明：
移动端阅览
陈啸,纪哲,吴胜等.基于环境可靠性预测的低轨卫星网络弹性智能路由技术[J].天地一体化信息网络,2026,07(01):38-48.

Chen Xiao,Ji Zhe,Wu Sheng,et al.Resilient Intelligent Routing Technology for LEO Satellite Networks Based on Environmental Reliability Prediction[J].Space-Integrated-Ground Information Networks,2026,07(01):38-48.
陈啸,纪哲,吴胜等.基于环境可靠性预测的低轨卫星网络弹性智能路由技术[J].天地一体化信息网络,2026,07(01):38-48. DOI： 10.11959/j.issn.2096-8930.2026005.

Chen Xiao,Ji Zhe,Wu Sheng,et al.Resilient Intelligent Routing Technology for LEO Satellite Networks Based on Environmental Reliability Prediction[J].Space-Integrated-Ground Information Networks,2026,07(01):38-48. DOI： 10.11959/j.issn.2096-8930.2026005.

摘要

低轨卫星网络在复杂空间环境中面临严峻的可靠性挑战，而传统路由协议多采用被动式响应机制，难以应对空间环境效应导致的链路不稳定风险。为此，提出一种基于环境可靠性预测的低轨卫星网络弹性智能路由方法。首先设计融合长期预测性辐射风险、瞬态空间天气事件与实时链路通信质量的空间环境可靠性指数，并给出端到端路由问题模型；其次构建基于消息传递机制的星间邻域状态信息聚合模型，提出环境状态预测下基于多智能体协同的分布式路由决策算法，实现低轨卫星网络路由决策从“被动响应”向“主动规避”的转变。仿真结果显示，相较于基准算法，该方法能主动规避高风险区域，有效提升动态空间环境下的低轨卫星网络端到端路由可靠性。

Abstract

Low earth orbit satellite networks face severe reliability challenges in the complex space environment

where conventional routing protocols

with their reactive mechanisms

struggle to address the link instability risks induced by space environment effects. To this end

this paper proposes a resilient and intelligent routing method for low earth orbit satellite networks

driven by environmental reliability prediction. The method begins by designing a space environment reliability index that integrates predictable radiation risks

space weather disturbances

and real-time link communication quality

and subsequently formulates the end-to-end routing problem. Next

a message-passing-based model is constructed to aggregate neighborhood state information among satellites. This enables a collaborative multi-agent distributed routing algorithm

guided by environmental state predictions

to facilitate a paradigm shift in routing decisions from reactive response to proactive avoidance. Simulation results demonstrate that

compared to baseline algorithms

the proposed method can proactively avoid high-risk regions

significantly enhancing the end-to-end routing reliability of low earth orbit satellite networks in dynamic space environments.

关键词

Keywords

references

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