意图驱动天地融合网络智能编排架构与关键技术

范荣乾; 程志密; 李乔; 杨春刚; 欧阳颖; 王璞

doi:10.11959/j.issn.1000-0801.2025134

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意图驱动天地融合网络智能编排架构与关键技术

专题：星地融合移动通信及卫星互联网 | 更新时间：2025-06-03

- 意图驱动天地融合网络智能编排架构与关键技术
- Intent-driven intelligent orchestration for satellite-terrestrial networks：system architecture and key technologies
- 电信科学 2025年41卷第5期页码：17-28
- 作者机构：
  
  1.西安电子科技大学，陕西西安 710071
  2.大唐移动通信设备有限公司，北京 100083
- 作者简介：
  
  [ "范荣乾（2001- ），男，西安电子科技大学硕士生，主要研究方向为意图驱动网络、天地融合网络编排与管理。" ]
  [ "程志密（1980- ），女，博士，大唐移动通信设备有限公司高级工程师，主要从事6G、确定性网络、卫星通信等的技术研究工作。" ]
  [ "李乔（2002- ），男，西安电子科技大学硕士生，主要研究方向为意图驱动网络、端到端网络切片编排。" ]
  [ "杨春刚（1982- ），男，博士，西安电子科技大学教授，主要研究方向为意图驱动智简网络、智能网络信息体系、软件定义网络自治、认知天地网络融合和网络通信博弈论等。" ]
  [ "欧阳颖（1995- ），女，西安电子科技大学在站博士后，主要研究方向为意图驱动网络、星地融合网络。" ]
  [ "王璞（2003- ），男，西安电子科技大学在读，主要研究方向为意图驱动网络、无线通信网络资源管理。" ]
- 基金信息：
  
  国家重点研发计划项目;The National Key Research and Development Program of China(2020YFB1807700);陕西省创新能力支撑计划项目(2024RS-CXTD-01)
- DOI：10.11959/j.issn.1000-0801.2025134
  中图分类号： TP393
- 收稿：2025-03-14，
  
  修回：2025-05-13，
  
  纸质出版：2025-05-20
- 稿件说明：
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范荣乾,程志密,李乔等.意图驱动天地融合网络智能编排架构与关键技术[J].电信科学,2025,41(05):17-28.

FAN Rongqian,CHENG Zhimi,LI Qiao,et al.Intent-driven intelligent orchestration for satellite-terrestrial networks：system architecture and key technologies[J].Telecommunications Science,2025,41(05):17-28.
范荣乾,程志密,李乔等.意图驱动天地融合网络智能编排架构与关键技术[J].电信科学,2025,41(05):17-28. DOI： 10.11959/j.issn.1000-0801.2025134.

FAN Rongqian,CHENG Zhimi,LI Qiao,et al.Intent-driven intelligent orchestration for satellite-terrestrial networks：system architecture and key technologies[J].Telecommunications Science,2025,41(05):17-28. DOI： 10.11959/j.issn.1000-0801.2025134.

摘要

面向千行百业的异构网络服务多样性和灵活性需求，构建地面与星上网络按需智能切片编排系统已成为未来网络重要发展方向。网络切片通过资源编排和逻辑隔离，能够有效支持不同天地融合网络的差异化服务需求。传统天地融合网络编排技术在面向动态复杂场景时，易出现编排效率较低、资源调度较难和服务保障较差等问题。意图驱动网络通过自然语言理解技术和闭环动态反馈机制，可为天地融合网络提供自适应性与智能性。基于此，提出了意图驱动天地融合网络切片编排架构及其关键技术，随后搭建了意图驱动天地融合网络智能编排实验平台，具体展示从用户意图输入到网络切片实例化完成的全流程，并对比了3类网络切片类型的平均实例化时间，以评估所提智能编排系统的效用。实验结果验证了意图驱动网络技术在天地融合网络智能编排中的适配性与高效性。

Abstract

To meet the diverse and flexible service demands of heterogeneous networks across various industries

building an on-demand intelligent network slicing and orchestration system that integrates terrestrial and satellite networks has become a crucial direction for future network development. Through resource orchestration and logical isolation

network slicing can effectively support differentiated service requirements in satellite-terrestrial networks. Traditional network orchestration technologies in satellite-terrestrial networks often face challenges such as low orchestration efficiency

difficult resource scheduling

and poor service assurance when dealing with dynamic and complex scenarios. Intent-driven networks

leveraging natural language understanding technology and closed-loop dynamic feedback mechanisms

can provide adaptability and intelligence for satellite-terrestrial networks. Based on this

an intent-driven satellite-terrestrial network slicing orchestration architecture and its key technologies were proposed. Subsequently

an intent-driven satellite-terrestrial network intelligent orchestration experimental platform was established

which specifically demonstrated the entire process from user intent input to network slice instantiation completion. A comparison of the average instantiation time of three types of network slices was conducted to evaluate the effectiveness of the proposed intelligent orchestration system. The experimental results verified the adaptability and efficiency of intent-driven networking technology in the intelligent orchestration of satellite-terrestrial networks.

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