Endogenous intelligent agent architecture and intent-driven subnetwork generation mechanism for 6G core networks

Li Ziyan; Gu Xiaofei; Li Huixin; Wang Yapeng; Ai Ming

doi:10.11959/j.issn.1000-0801.DXKX260132

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Endogenous intelligent agent architecture and intent-driven subnetwork generation mechanism for 6G core networks

更新时间：2026-07-21

- Endogenous intelligent agent architecture and intent-driven subnetwork generation mechanism for 6G core networks
- Telecommunications Science Vol. 42, Issue 6, Pages: 52-65(2026)
- 作者机构：
  
  1.中信科移动通信技术股份有限公司，北京 100085
  2.大唐移动通信设备有限公司，北京 100083
  3.无线移动通信全国重点实验室（电信科学技术研究院有限公司），北京 100191
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260132
  CLC： TN929.5;TP18
- Received：28 February 2026，
  
  Revised：2026-03-20，
  
  Accepted：09 April 2026，
  
  Online First：21 July 2026，
  
  Published：20 June 2026
- 稿件说明：
移动端阅览
李紫燕,谷肖飞,李慧欣等.面向6G核心网的内生智能体架构与意图驱动子网生成机制[J].电信科学,2026,42(06):52-65.

Li Ziyan,Gu Xiaofei,Li Huixin,et al.Endogenous intelligent agent architecture and intent-driven subnetwork generation mechanism for 6G core networks[J].Telecommunications Science,2026,42(06):52-65.
李紫燕,谷肖飞,李慧欣等.面向6G核心网的内生智能体架构与意图驱动子网生成机制[J].电信科学,2026,42(06):52-65. DOI： 10.11959/j.issn.1000-0801.DXKX260132.

Li Ziyan,Gu Xiaofei,Li Huixin,et al.Endogenous intelligent agent architecture and intent-driven subnetwork generation mechanism for 6G core networks[J].Telecommunications Science,2026,42(06):52-65. DOI： 10.11959/j.issn.1000-0801.DXKX260132.

摘要

为实现IMT-2030（6G）的普惠智能愿景，提出了一种具有多智能体协同特征的内生智能核心网架构。基于服务化架构（service-based architecture，SBA），通过定义意图接口（AI-enhanced intent function，AIEF）、智能体控制功能（agent control function，ACF）与智能体注册与管理功能（agent registration and management function，ARMF）等核心网络功能，构建了面向6G场景的内生智能网络架构。为验证该架构的可行性，选取意图驱动子网生成任务作为典型任务，搭建了整体系统验证平台，验证了所提架构下的注册、编排及用户设备（user equipment，UE）接入功能。针对6G逻辑子网的构建需求，设计了由ACF全程协调保障的两阶段多智能体协同的子网生成机制，并在单卡RTX4090D下开展仿真实验与性能评估工作。验证结果表明，所提架构与机制可实现基于自然语言的意图表达到子网实例生成的完整闭环，证实了未来网络中引入AI智能体实现网络内生智能化的可行性。

Abstract

To realize the ubiquitous intelligence vision of IMT-2030 (6G)

an endogenous intelligent core network architecture with multi-agent collaboration was proposed. Based on the service-based architecture (SBA)

the AI-enhanced intent function (AIEF)

agent control function (ACF)

and agent registration and management function (ARMF) were defined to support endogenous intelligence in 6G networks. An intent-driven subnet generation task was selected to verify the proposed architecture

and a system platform was developed to validate registration

orchestration

and user equipment (UE) access.For 6G logical subnet construction

a two-stage multi-agent collaborative mechanism coordinated by the ACF was designed and evaluated on a single NVIDIA RTX 4090D GPU. The results demonstrate the feasibility of AI-agent-enabled endogenous intelligence for future networks.

关键词

Keywords

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Related Institution

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