Review of Key Technologies in Space-Based Computing Power Networks

ZHANG Dingyun; DONG Tao; LIU Zhihui; DI Hang; ZHANG Qiwei; WEI Shuotong

doi:10.11959/j.issn.1000-0801.2025035

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Review of Key Technologies in Space-Based Computing Power Networks

Reviews | 更新时间：2026-01-09

- Review of Key Technologies in Space-Based Computing Power Networks
- Space-Integrated-Ground Information Networks Vol. 6, Issue 4, Pages: 9-26(2025)
- 作者机构：
  
  1.航天恒星科技有限公司空间信息体系与融合应用全国重点实验室，北京100095
  2.北京卫星信息工程研究所，北京100095
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62331027);National Key Research and Development Program(2024YFB2907301);Young Elite Scientists Sponsorship Program by CAST(2022QNRC001)
- DOI：10.11959/j.issn.1000-0801.2025035
  CLC： TN929
- Received：20 May 2025，
  
  Revised：2025-07-24，
  
  Published：20 December 2025
- 稿件说明：
移动端阅览
张丁允,董涛,刘志慧等.天基算力网络关键技术综述[J].天地一体化信息网络,2025,06(04):9-26.

ZHANG Dingyun,DONG Tao,LIU Zhihui,et al.Review of Key Technologies in Space-Based Computing Power Networks[J].Space-Integrated-Ground Information Networks,2025,06(04):9-26.
张丁允,董涛,刘志慧等.天基算力网络关键技术综述[J].天地一体化信息网络,2025,06(04):9-26. DOI： 10.11959/j.issn.1000-0801.2025035.

ZHANG Dingyun,DONG Tao,LIU Zhihui,et al.Review of Key Technologies in Space-Based Computing Power Networks[J].Space-Integrated-Ground Information Networks,2025,06(04):9-26. DOI： 10.11959/j.issn.1000-0801.2025035.

摘要

天基算力网络通过算力节点组网实现星载算力资源的连通与统一调度，从而实现星上计算任务的高效处理，展现了极大的应用潜力和理论研究价值。首先，对天基算力网络的概念、现状及面临的主要挑战进行了系统总结；随后，重点分析了天基算力网络的3项关键技术——网络架构、算力度量及路由和计算任务卸载优化，并探讨其研究进展及存在的挑战；最后，对天基算力网络未来研究的发展方向进行展望。

Abstract

The space-based computing power networks (S-CPN) achieve the connectivity and unified scheduling of on-board computing resources through the networking of computing nodes. This enables the efficient processing of on-board computing tasks

demonstrating significant application potential and theoretical research value.This paper provides a systematic review of the key technologies of S-CPN. Firstly

the concept

current status

and main challenges of S-CPN are systematically summarized. Subsequently

three critical technologies of S-CPN are analyzed in detail: network architecture

computing power measurement and routing

and computing task offloading optimization

along with their research progress and existing challenges. Finally

the future research directions of S-CPN are prospected.

关键词

Keywords

references

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