Customer-centered mobile network intelligent operation approach

Kai LI; Wei LIU; Guiyang LUO; Jinglin LI

doi:10.11959/j.issn.1000-0801.2020024

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Customer-centered mobile network intelligent operation approach

Operation Technology | 更新时间：2024-06-05

- Customer-centered mobile network intelligent operation approach
- Telecommunications Science Vol. 36, Issue 2, Pages: 101-108(2020)
- 作者机构：
  
  1. 中国电信股份有限公司北京研究院，北京 102209
  2. 北京邮电大学，北京 100876
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2020024
  CLC： TN929.5
- Published Online：2020-02，
  
  Published：20 February 2020
- 稿件说明：
移动端阅览
Kai LI, Wei LIU, Guiyang LUO, et al. Customer-centered mobile network intelligent operation approach[J]. Telecommunications science, 2020, 36(2): 101-108.
DOI：

Kai LI, Wei LIU, Guiyang LUO, et al. Customer-centered mobile network intelligent operation approach[J]. Telecommunications science, 2020, 36(2): 101-108. DOI： 10.11959/j.issn.1000-0801.2020024.

摘要

多种新型业务的迅猛发展，对移动通信系统的用户个性化业务保障能力提出了更高的要求。传统的智能管道运营仅考虑网络当前的流量状态、承载绑定数量等信息，并未考虑到无线用户的使用需求和特点。同时，由于无线网络的指标多、指标间相关性复杂，且不同用户需求对无线网络指标有不同要求，使用基于规则的方式已经无法应对。因此提出一种以用户为中心的智能化网络运营服务方法，通过学习用户QoS保障需求与无线网络指标态势的相关性，构建基于用户需求与无线网络状态的联合服务保障架构，同时还提出了一种基于机器学习与深度学习的智能化网络服务保障方法，并在真实数据上验证了其有效性。

Abstract

The rapid development of new types of services places greater demands on support ability of the personalized service in mobile communication systems.Traditional intelligent pipe carriers only consider limited factors such as current traffic status of the network and number of loading binding quantity

indicating that they don’t take account of the demands and features of wireless customers.Meanwhile

the rule-based method is overwhelmed due to numerous metrics of the wireless network

the complicated correlation among them and heterogeneous requirements of metrics from various users.Therefore

a user-centric intelligent network operation service was proposed

which utilized machine learning and deep learning method.The service had the ability to learn the correlation between user QoS guarantee requirements and wireless network metric status to construct a joint support architecture based on user requirements and wireless network status.The validity of the method on real data was verified.

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references

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