基于AI Agent的星地融合资源编排关键技术

秦瑞艳; 王亚鹏; 程志密; 徐晖; 李慧欣

doi:10.11959/j.issn.1000-0801.2025027

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基于AI Agent的星地融合资源编排关键技术

研究 | 更新时间：2025-10-27

- 基于AI Agent的星地融合资源编排关键技术
- Key Technologies of Satellite-Ground Integrated Resource Orchestration Based on AI Agent
- 天地一体化信息网络 2025年6卷第3期页码：39-48
- 作者机构：
  
  大唐移动通信设备有限公司，北京 100083
- 作者简介：
  
  [ "秦瑞艳（1997- ），女，大唐移动通信设备有限公司工程师，主要研究方向为移动算力网络技术、移动通信核心网技术、6G网络架构、云原生技术等。" ]
  [ "王亚鹏（1985- ），女，大唐移动通信设备有限公司中级工程师，主要研究方向为移动算力网络、移动通信核心网、6G网络架构、宽带集群通信等。" ]
  [ "程志密（1980- ），女，博士，大唐移动通信设备有限公司高级工程师，主要研究方向为移动通信核心网、天地融合网络技术、确定性网络技术等。" ]
  [ "徐晖（1969- ），女，博士，大唐移动通信设备有限公司教授级高级工程师，主要研究方向为移动通信核心网、天地融合网络技术和移动通信安全等。" ]
  [ "李慧欣（1997- ），女，大唐移动通信设备有限公司工程师，主要研究方向为6G AI技术、移动通信核心网技术、6G网络架构等。" ]
- 基金信息：
  
  国家重点研发计划资助项目(2022YFB2902704)
- DOI：10.11959/j.issn.1000-0801.2025027
  中图分类号： TP393
- 收稿：2025-05-06，
  
  修回：2025-07-30，
  
  纸质出版：2025-09-20
- 稿件说明：
移动端阅览
秦瑞艳,王亚鹏,程志密等.基于AI Agent的星地融合资源编排关键技术[J].天地一体化信息网络,2025,06(03):39-48.

QIN Ruiyan,WANG Yapeng,CHENG Zhimi,et al.Key Technologies of Satellite-Ground Integrated Resource Orchestration Based on AI Agent[J].Space-Integrated-Ground Information Networks,2025,06(03):39-48.
秦瑞艳,王亚鹏,程志密等.基于AI Agent的星地融合资源编排关键技术[J].天地一体化信息网络,2025,06(03):39-48. DOI： 10.11959/j.issn.1000-0801.2025027.

QIN Ruiyan,WANG Yapeng,CHENG Zhimi,et al.Key Technologies of Satellite-Ground Integrated Resource Orchestration Based on AI Agent[J].Space-Integrated-Ground Information Networks,2025,06(03):39-48. DOI： 10.11959/j.issn.1000-0801.2025027.

摘要

星地融合成为6G网络实现全域无缝覆盖的关键技术。为了应对星地融合面临的异构资源耦合、服务需求多样化等挑战，设计了基于AI Agent的分层协同资源编排架构，并基于该架构提出一种算网协同切片资源编排关键技术。面向网络切片编排中算力资源分配任务的时空约束问题，构建系统模型并提出DNRM-AIAC算法。仿真结果证明，该算法在不同网络切片数和消息规模场景下的性能均优于传统静态算法和启发式算法。

Abstract

Satellite - terrestrial integrated networks have become a key technology of 6G networks to achieve seamless global coverage. To address the challenges of heterogeneous resource coupling

diverse service demands changes in satellite-terrestrial integrated networks

this paper designs a hierarchical collaborative resource orchestration architecture based on AI Agents

and proposes a key technology for computing-network collaborative slice resource orchestration based on this architecture. Aiming at spatiotemporal constraint problem of computing power resource allocation in the slice orchestration process

a system model is constructed and a DNRM-AIAC algorithm is proposed. Finally

simulations demonstrate that the algorithm outperforms traditional static algorithms and heuristic algorithms in scenarios with different numbers of network slices and message sizes.

关键词

Keywords

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