Research and practice on technologies for full stack deployment of autonomous networks

Fei XUE; Bin CHEN; Jing LIU; Xiaoyang LIANG; Lin ZHU; Feng WANG; Tian LI; Liang ZHANG; Zhenzhen CHEN; Xiao LI

doi:10.11959/j.issn.1000-0801.2023181

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Research and practice on technologies for full stack deployment of autonomous networks

Network Intelligence and Artificial Intelligence Generated Content | 更新时间：2024-06-05

- Research and practice on technologies for full stack deployment of autonomous networks
- Telecommunications Science Vol. 39, Issue 9, Pages: 63-75(2023)
- 作者机构：
  
  1. 中国移动通信集团广东有限公司，广东广州 510632
  2. 中国移动通信有限公司研究院，北京 100053
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023181
  CLC： TN915
- Published Online：2023-08，
  
  Published：25 August 2023
- 稿件说明：
移动端阅览
Fei XUE, Bin CHEN, Jing LIU, et al. Research and practice on technologies for full stack deployment of autonomous networks[J]. Telecommunications science, 2023, 39(9): 63-75.
DOI：

Fei XUE, Bin CHEN, Jing LIU, et al. Research and practice on technologies for full stack deployment of autonomous networks[J]. Telecommunications science, 2023, 39(9): 63-75. DOI： 10.11959/j.issn.1000-0801.2023181.

摘要

自智网络通过构建智能化的网络基础设施，实现网络自主管理、自优化和自修复。自智网络分成能力建设和能力部署两个关键阶段，目前业界较少关注能力部署。首先系统研究了自智网络的能力部署阶段，随后介绍自智网络架构，然后提出了 3 项自智网络全栈部署核心技术，最后通过异常检测、智慧机房和设备巡检等案例验证核心技术的有效性。对自智网络能力部署进行了系统探讨，对运营商实施网络智能化转型具有重要的参考价值。

Abstract

Autonomous networks achieve network self management

self optimization

and self repair by building intelligent network infrastructure.Autonomous network was divided into two key stages: AI model building and AI model deployment.However

the industry paid less attention to AI model deployment.The deployment phase of autonomous networks was systematically studied.Firstly

it elaborated on the independent deployment mode and full stack deployment mode of autonomous networks

and pointed out that full stack deployment was the main direction.Secondly

a detailed introduction was given to the full stack architecture with “five layers

dual domains

and four closed-loops”

which achieved full life cycle intelligence through a layered closed-loop design of resources and processes.Then

three core technologies for independent innovation were proposed: AI model training and inference integration to achieve rapid iterative updates of models

AI fabric technology to achieve customized application by rapid construction

and AI model cloud-edge collaborative deployment technology to achieve efficient application.Finally

the effectiveness of these three core technologies was verified through cases such as anomaly detection

smart telecommunication rooms

and equipment inspections.The deployment of autonomous networks was systematically explored

especially in terms of architecture design and core technology innovation

which had important reference value for telecommunication operators’ network digital transformation.

关键词

Keywords

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