电信运营商云网规划数字化研究和实现

熊小明; 赵静

doi:10.11959/j.issn.1000-0801.2022287

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电信运营商云网规划数字化研究和实现

工程与应用 | 更新时间：2024-06-05

- 电信运营商云网规划数字化研究和实现
- Digital research and implementation of cloud-network planning of telecom operators
- 电信科学 2022年38卷第11期页码：163-168
- 作者机构：
- 作者简介：
  
  [ "熊小明（1974- ），男，中国电信股份有限公司研究院高级工程师，主要研究方向为云网融合、数据中心、云网规划、数字化平台等" ]
  [ "赵静（1996- ），女，中国电信股份有限公司研究院工程师，主要研究方向为云网融合、接入网、数字孪生、云网规划、数字化平台等" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022287
  中图分类号： TP393
- 网络出版日期：2022-11，
  
  纸质出版日期：2022-11-20
- 稿件说明：
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熊小明, 赵静. 电信运营商云网规划数字化研究和实现[J]. 电信科学, 2022,38(11):163-168.

Xiaoming XIONG, Jing ZHAO. Digital research and implementation of cloud-network planning of telecom operators[J]. Telecommunications science, 2022, 38(11): 163-168.
熊小明, 赵静. 电信运营商云网规划数字化研究和实现[J]. 电信科学, 2022,38(11):163-168. DOI： 10.11959/j.issn.1000-0801.2022287.

Xiaoming XIONG, Jing ZHAO. Digital research and implementation of cloud-network planning of telecom operators[J]. Telecommunications science, 2022, 38(11): 163-168. DOI： 10.11959/j.issn.1000-0801.2022287.

摘要

基于电信运营商数字化转型，系统性地提出了数据驱动的云网发展规划体系，以及六大关键数字化能力构建，设计和实现了一种云网规划数字化平台，该平台可用于实现目标网络精细规划、边缘计算精准预测等场景，并探讨了数字孪生在规划领域的应用前景，对运营商推进云网融合战略、推进高质量发展具有指导和参考意义。

Abstract

Based on the perspective of digital transformation of telecom operators

a data-driven cloud-network development planning system was proposed systematically

six key digital capabilities were built

and a cloud-network planning digital platform was designed and implemented

which could be used for scenarios such as fine planning of target networks

accurate prediction of edge computing

etc.

and the application prospects of digital twins in the field of future cloud-network planning were discussed.The proposed system has guiding and reference significance for operators to promote cloud-network integration strategies and promote high-quality development.

关键词

Keywords

references

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China Telecom Group Co.,Ltd. . Cloud network convergence 2030 technical white paper [R ] . 2020 .

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FRANCISCO A , MOHAMMADI N , TAYLOR J E . Smart City digital twin-enabled energy management:toward real-time urban building energy benchmarking [J ] . Journal of Management in Engineering , 2020 , 36 ( 2 ): 04019045.1 - 04019045.11 .

DALSTAM A , ENGBERG M , NÅFORS D , et al . A stepwise implementation of the virtual factory in manufacturing industry [C ] // Proceedings of 2018 Winter Simulation Conference (WSC) . Piscataway:IEEE Press , 2020 ( 8 ): 3229 - 3240 .

ZHANG J , LI L , LIN G J , et al . Cyber resilience in healthcare digital twin on lung cancer [J ] . IEEE Access , 2020 ( 8 ): 201900 - 201913 .

JAGANNATH J , RAMEZANPOUR K , JAGANNATH A . Digital twin virtualization with machine learning for IoT and beyond 5G networks:research directions for security and optimal control [C ] // Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning . New York:ACM Press , 2022 .

ZHANG J , LI L , LIN G J , et al . Cyber resilience in healthcare digital twin on lung cancer [J ] . IEEE Access , 2020 ( 8 ): 201900 - 201913 .

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