Research and practice on self-organization architecture of smart pipe in mobile internet

Fei XUE; Yuhui XU; Liang ZHANG; Ying LI

doi:10.11959/j.issn.1000-0801.2018243

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Research and practice on self-organization architecture of smart pipe in mobile internet

Wide Angle of operation technology | 更新时间：2024-06-05

- Research and practice on self-organization architecture of smart pipe in mobile internet
- Telecommunications Science Vol. 34, Issue 9, Pages: 143-152(2018)
- 作者机构：
  
  1. 中国移动通信集团广东有限公司，广东广州 510623
  2. 中山大学岭南（大学）学院，广东广州 510275
  3. 西安电子科技大学电子工程学院，陕西西安 710071
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018243
  CLC： TN929.5
- Published Online：2018-09，
  
  Published：20 September 2018
- 稿件说明：
移动端阅览
Fei XUE, Yuhui XU, Liang ZHANG, et al. Research and practice on self-organization architecture of smart pipe in mobile internet[J]. Telecommunications science, 2018, 34(9): 143-152.
DOI：

Fei XUE, Yuhui XU, Liang ZHANG, et al. Research and practice on self-organization architecture of smart pipe in mobile internet[J]. Telecommunications science, 2018, 34(9): 143-152. DOI： 10.11959/j.issn.1000-0801.2018243.

摘要

根据 3GPP 自组织网络规范，提出移动互联网智能管道自组织架构。在智能管道网络中引入集中策略控制功能实体，周期监测外部消息，利用循环神经网络构建最佳策略匹配模型，进行智能管道策略预测、迭代更新和策略下发。对比传统智能管道，本架构实现了智能管道策略智能化定制、实时性管理以及生命周期动态管理，并在“大流量用户”限速、网络高负荷保障以及在线广告推荐等场景得到了有效的应用。

Abstract

According to the 3GPP specification

a new self-organization network of smart pipe in mobile internet was addressed.By introducing integrated policy control function

the external signals were supervised periodically

and the best optimized network strategies were predicted by the recurrent neural network algorithm

delivered by PCRF

and updated automatically with feedback of the regulations.This solution was effectively applied in scenarios such as speed limit of large traffic users

network protection under high load

and online advertisement recommendation etc.

关键词

Keywords

references

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