Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running

SHI Yuanyuan; WEI Bin; LI Aihua; XU Ming; ZHANG Yumin; SHEN Shen; MENG Han; JIANG Yu; LIU Le

doi:10.11959/j.issn.1000-0801.2024255

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Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running

Engineering and Application | 更新时间：2024-12-30

- Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running
- Telecommunications Science Vol. 40, Issue 12, Pages: 146-162(2024)
- 作者机构：
  
  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.1000-0801.2024255
  CLC： TN929.5
- Received：14 September 2024，
  
  Revised：04 November 2024，
  
  Published：20 December 2024
- 稿件说明：
移动端阅览
史嫄嫄,魏彬,李爱华等.5G-Advanced核心网运行智能架构演进、关键技术及应用研究[J].电信科学,2024,40(12):146-162.

SHI Yuanyuan,WEI Bin,LI Aihua,et al.Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running[J].Telecommunications Science,2024,40(12):146-162.
史嫄嫄,魏彬,李爱华等.5G-Advanced核心网运行智能架构演进、关键技术及应用研究[J].电信科学,2024,40(12):146-162. DOI： 10.11959/j.issn.1000-0801.2024255.

SHI Yuanyuan,WEI Bin,LI Aihua,et al.Research on the evolution, key technologies, and applications for AI enabled 5G-Advanced core network running[J].Telecommunications Science,2024,40(12):146-162. DOI： 10.11959/j.issn.1000-0801.2024255.

摘要

5G作为万物互联新时代的关键基础设施，智能化是其重要发展方向。在5G-Advanced（简称5G-A）阶段，核心网运行智能通过AI技术与网络运行机制深度融合，可显著提升网络效率，实时感知并精准保障多样化业务需求。面向5G-A网络，重点介绍了核心网运行智能总体架构、关键技术及应用。首先，分析了5G-A核心网运行发展趋势并阐述重点智能应用；其次，提出了“四层四维”核心网运行智能架构，包括智能分析中心层、控制面智能内生层、边缘实时推理层、端侧轻量推理层共4层，可实时定制化采集切片、网元、用户和业务流4个维度，提供数据感知、训练、推理等智能分析服务；再次，介绍了核心网运行智能5项关键技术和能力；最后，聚焦于核心网运行智能典型业务需求，深入分析并总结了相关解决方案及其效果，为5G-A核心网智能化的应用和落地提供了新思路。

Abstract

5G serves as the pivotal infrastructure for the emerging era of the Internet of everything

with intelligentization being its crucial direction. In the 5G-Advanced (5G-A) phase

AI enabled core network running can substantially enhance network efficiency

facilitate real-time perception

and precisely cater to diversified service demands through the deep integration of AI technology and network running mechanisms. For the 5G-A network

the overall intelligent architecture

key technologies

and applications of AI enabled core network operations were highlighted. Firstly

the development trend of AI enabled 5G-A core network running was analyzed and key intelligent applications were elaborated. Secondly

AI enabled core network running architecture combining four layers and four dimensions was proposed

encompassing a central intelligent analysis layer

a control plane intelligent endogenous layer

an edge real-time inference layer

and an on-device lightweight inference layer. This architecture enables customized

real-time data collection across four dimensions: slices

network elements

users

and service flows

thereby offering intelligent analysis services such as data perception

training

and inference. Then

five key technologies and capabilities of AI enabled core network running were introduced. Finally

focusing on the typical service requirements of AI enabled core network running

the relevant solutions and their results were analyzed and summarized

thus providing new ideas for the application and implementation of 5G-A core network intelligence.

关键词

Keywords

references

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