Study on digital twins in network lifecycle management

Da WANG; Tao SUN; Xiaowen SUN; Jianchao GUO; Jie SUN; Guo CHEN; Aidong YANG; Ye OUYANG

doi:10.11959/j.issn.1000-0801.2022063

您当前的位置：

首页 >

文章列表页 >

Study on digital twins in network lifecycle management

Engineering and Application | 更新时间：2024-06-05

- Study on digital twins in network lifecycle management
- Telecommunications Science Vol. 38, Issue 4, Pages: 138-145(2022)
- 作者机构：
  
  1. 亚信科技（中国）有限公司，北京 100193
  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.1000-0801.2022063
  CLC： TP393
- Published Online：2022-04，
  
  Published：20 April 2022
- 稿件说明：
移动端阅览
Da WANG, Tao SUN, Xiaowen SUN, et al. Study on digital twins in network lifecycle management[J]. Telecommunications science, 2022, 38(4): 138-145.
DOI：

Da WANG, Tao SUN, Xiaowen SUN, et al. Study on digital twins in network lifecycle management[J]. Telecommunications science, 2022, 38(4): 138-145. DOI： 10.11959/j.issn.1000-0801.2022063.

摘要

随着消费者对于通信业务的需求日益丰富和多样化，通信网络架构和功能也变得越来越庞大和复杂。随着5G通信技术的应用，5G通信网络可以实现网络能力的按需编排与灵活开放，对于网络在全生命周期中的管理提出更高的要求。随着数字孪生技术的发展，可以应用数字孪生技术辅助通信网络全生命周期管理，从而提升网络管理质量，降低网络风险和成本，实现可视化感知和实时闭环控制。在网络数字孪生方面相关的实践工作说明，所提网络数字孪生平台可以实现通信网络运行指标的可视化监控分析和网络故障快速诊断。

Abstract

As consumers’ demands for mobile services have become more abundant and diversified

the architecture and functions of mobile network have become more complex.With the development of 5G technology

5G mobile network could realize on-demand orchestration and flexible exposure of network capabilities

which made higher requirements for network lifecycle management.Digital twins technology could be used to assist the network lifecycle management

so as to improve the network management quality

reduce network risks and costs

and achieve the visual perception and the real-time closed-loop control.The network digital twin platform and application cases show that the proposed network digital twins platform can realize visual monitoring and analysis of mobile network operation key performance indicators and quickly diagnosis of network faults.

关键词

Keywords

references

GRIEVES M . Virtually perfect:driving innovative and lean products through product lifecycle management [M ] . Cocoa Beach . Fla,USA : Space Coast Press , 2011 .

PANETTA K . 5 trends drive the gartner hype cycle for emerging technologies [EB ] . 2020 .

JAMNADASS R . The relationship between 5G and digital twins in industry 4.0 [EB ] . 2020 .

REED S , LÖFSTRAND M , ANDREWS J . Modelling cycle for simulation digital twins [J ] . Manufacturing Letters , 2021 , 28 : 54 - 58 .

中国电子信息产业发展研究院 . 数字孪生白皮书（2019） [R ] . 北京 , 2019 .

China Center for Information Industry Development . Digital twin white paper (2019) [R ] . Beijing , 2019 .

RATHORE M M , SHAH S A , SHUKLA D , et al . The role of AI,machine learning,and big data in digital twinning:a systematic literature review,challenges,and opportunities [J ] . IEEE Access , 2021 , 9 : 32030 - 32052 .

GRIEVES M , VICKERS J . Digital twin:mitigating unpredictable,undesirable emergent behavior in complex systems [J ] . Springe International Publishing , 2017 .

WU Y W , ZHANG K , ZHANG Y . Digital twin networks:a survey [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 18 ): 13789 - 13804 .

孙滔 , 周铖 , 段晓东 , 等 . 数字孪生网络(DTN):概念、架构及关键技术 [J ] . 自动化学报 , 2021 , 47 ( 3 ): 569 - 582 .

SUN T , ZHOU C , DUAN X D , et al . Digital twin network(DTN):concepts,architecture,and key technologies [J ] . Acta Automatica Sinica , 2021 , 47 ( 3 ): 569 - 582 .

ISO/IEC JTC1 SC41 . Digital twin-use cases,digital twin concepts and terminology [S ] . 2021 .

ITU-T SG13,Recommendation Y.DTN-ReqArch . Requirements and architecture of digital twin network [S ] . 2021 .

CCSA TC10 . 行业现场网数字孪生需求与场景 [S ] . 2021 .

CCSA TC10 . Digital twin of proximity network part 1:scenarios and requirements [S ] . 2021 .

WANG HZ , WU YL , MIN GY , et al . A graph neural network-based digital twin for network slicing management [J ] .IEEE Transactions on Industrial Informatics,29 December 2020. IEEE Transactions on Industrial Informatics ,29 December 2020.

刘伟轩 , 刘晓莲 . 基于数字孪生技术的网络运维管理系统架构研究 [J ] . 信息与电脑 , 2021 , 33 ( 07 ): 16 - 18 .

LIU W X , LIU X L . Research on the architecture of network operation and maintenance management system based on digital twin technology [J ] . China Computer ＆ Communication , 2021 , 33 ( 07 ): 16 - 18 .

LU Y L , MAHARJAN S , ZHANG Y . Adaptive edge association for wireless digital twin networks in 6G [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 22 ): 16219 - 16230 .

FENG Z J , CUI Q S , ZHANG Y , et al . Online assessment of flexibility on active distribution network planning through digital twin [C ] // Proceedings of 2020 2nd International Conference on Electrical,Control and Instrumentation Engineering (ICECIE) . Piscataway:IEEE Press , 2020 : 1 - 6 .

NGUYEN H X , TRESTIAN R , TO D , et al . Digital twin for 5G and beyond [J ] . IEEE Communications Magazine , 2021 , 59 ( 2 ): 10 - 15 .

DENG J , ZHENG Q B , LIU G Y , et al . A digital twin approach for self-optimization of mobile networks [C ] // Proceedings of 2021 IEEE Wireless Communications and Networking Conference Workshops . Piscataway:IEEE Press , 2021 : 1 - 6 .

LIU Z F , CHEN W , ZHANG C X , et al . Data super-network fault prediction model and maintenance strategy for mechanical product based on digital twin [J ] . IEEE Access , 2019 , 7 : 177284 - 177296 .

BARANDA J , MANGUES-BAFALLUY J , ZEYDAN E , et al . Demo:AIML-as-a-service for SLA management of a digital twin virtual network service [C ] // Proceedings of IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops . Piscataway:IEEE Press , 2021 : 1 - 2 .

Views

1420

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on operators' big data technologies and applications

Summary of the applications of 5G and industrial internet

Performance analysis and construction scheme proposal of 5G network at 700 MHz band

Research and practice of telecom integrated grid management based on digital transformation

Identification technology for city freeway users based on XDR big data analysis

Related Author

Tao CHEN

Meng LU

HENYanming C

Ying HUANG

Qingmin YU

Qian ZHANG

Weiguo WANG

Xingzheng LI

Related Institution

China Academy of Information and Communication Technology

China Mobile Group Design Institute Co., Ltd.

Key Laboratory of Internet and Industrial Integration Innovation, MIIT

China Academy of Information and Communications Technology

China Mobile Group Xinjiang Co., Ltd.

⁰