Research progress on wavelength routing algorithms in satellite optical networks

LIANG Jingyuan; LIU Junhao; KE Xizheng

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Research progress on wavelength routing algorithms in satellite optical networks

Optical Communication Technology | 更新时间：2026-03-24

- Research progress on wavelength routing algorithms in satellite optical networks
- OPTICAL TECHNIQUE Vol. 52, Issue 2, Pages: 173-182(2026)
- 作者机构：
  
  1.西安理工大学自动化与信息工程学院，陕西西安710048
  2.咸阳市智能制造装备技术重点实验室，陕西咸阳 712000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN29;TN24.
- Received：17 October 2025，
  
  Revised：2025-12-31，
  
  Published：20 March 2026
- 稿件说明：
移动端阅览
梁静远,刘俊豪,柯熙政.卫星光网络中的路由算法研究进展[J].光学技术,2026,52(02):173-182.

LIANG Jingyuan,LIU Junhao,KE Xizheng.Research progress on wavelength routing algorithms in satellite optical networks[J].OPTICAL TECHNIQUE,2026,52(02):173-182.
梁静远,刘俊豪,柯熙政.卫星光网络中的路由算法研究进展[J].光学技术,2026,52(02):173-182. DOI：

LIANG Jingyuan,LIU Junhao,KE Xizheng.Research progress on wavelength routing algorithms in satellite optical networks[J].OPTICAL TECHNIQUE,2026,52(02):173-182. DOI：

摘要

卫星光网络是未来星间与星地通信研究的主流方向，其中的路由问题亟需解决。开发低延迟、高可靠和高资源利用率的路由算法对推动该网络发展至关重要。文章将路由算法分为传统算法、改进算法和智能算法三类，并按其算法特点进行分类总结。对传统算法中的经典算法进行论述，将改进算法按单层路由技术和多层路由技术分类叙述总结，智能算法依据算法的训练与决策机制分为离线学习型智能路由算法与在线学习型智能路由算法。未来对于卫星光网络的通信要求将越来越高，路由算法支柱的逐渐变为智能算法，卫星光网络的进步也不仅仅靠路由算法的发展，更要有新型的、优秀的路由架构支撑。

Abstract

Satellite optical networks represent a predominant research direction for future inter-satellite and satellite-ground communications

wherein routing issues require urgent resolution. The development of routing algorithms characterized by low latency

high reliability

and optimal resource utilization is critical for advancing such networks. Routing algorithms into three classes is categorized: traditional algorithms

improved algorithms

and intelligent algorithm

with summaries structured according to their algorithmic features. Classical algorithms within the traditional category are examined in detail

while improved algorithms are classified and summarized based on single-layer and multi-layer routing techniques. Intelligent algorithms are classified into offline learning-based intelligent routing algorithms and online learning-based intelligent routing algorithms according to their training and decision-making mechanisms. As communication demands on satellite optical networks continue to escalate in the future

intelligent algorithm will progressively form the backbone of routing solutions. However

the advancement of satellite optical networks relies not only on the evolution of routing algorithms but also on the support of novel and sophisticated routing architectures.

关键词

Keywords

references

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