| 移动互联网智能管道自组织架构研究与实践 |
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| 引用本文： | 薛飞,徐宇辉,张靓,李英.移动互联网智能管道自组织架构研究与实践[J].电信科学,2018,34(9):143-152. |
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| 作者姓名： | 薛飞 徐宇辉 张靓 李英 |
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| 作者单位： | 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 |
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| 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。
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| 关 键 词： | 智能管道 集中策略控制功能 自组织网络 循环神经网络 |
Research and practice on self-organization architecture of smart pipe in mobile internet |
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| Fei XUE,Yuhui XU,Liang ZHANG,Ying LI.Research and practice on self-organization architecture of smart pipe in mobile internet[J].Telecommunications Science,2018,34(9):143-152. |
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| Authors: | Fei XUE Yuhui XU Liang ZHANG Ying LI |
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| Affiliation: | 1. China Mobile Group Guangdong Co.,Ltd.,Guangzhou 510623,China;2. Lingnan (University) College,Sun Yat-sen University,Guangzhou 510275,China;3. School of Electronic Engineering,Xidian University,Xi’an 710071,China |
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| 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. |
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| Keywords: | smart pipe integrated policy control function self-organization network recurrent neural network |
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