A SA-BP neural network algorithm based channel quality evaluation method in optical access network

Bingqing CAI; Siya XU; Feng QI; Weichun GE; Guiping ZHOU; Botao YU; Yueyue LI

doi:10.11959/j.issn.1000-0801.2018124

您当前的位置：

首页 >

文章列表页 >

A SA-BP neural network algorithm based channel quality evaluation method in optical access network

Power informatization column | 更新时间：2024-06-05

- A SA-BP neural network algorithm based channel quality evaluation method in optical access network
- Telecommunications Science Vol. 34, Issue 4, Pages: 162-172(2018)
- 作者机构：
  
  1. 北京邮电大学网络与交换技术国家重点实验室，北京 100876
  2. 国网辽宁省电力有限公司，辽宁沈阳 110006
  3. 北京国电通网络技术有限公司，北京 100070
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018124
  CLC： G304
- Published Online：2018-04，
  
  Published：20 April 2018
- 稿件说明：
移动端阅览
Bingqing CAI, Siya XU, Feng QI, et al. A SA-BP neural network algorithm based channel quality evaluation method in optical access network[J]. Telecommunications science, 2018, 34(4): 162-172.
DOI：

Bingqing CAI, Siya XU, Feng QI, et al. A SA-BP neural network algorithm based channel quality evaluation method in optical access network[J]. Telecommunications science, 2018, 34(4): 162-172. DOI： 10.11959/j.issn.1000-0801.2018124.

摘要

目前，针对光接入网通道质量评估的研究主要集中在设备层和网络层，缺乏涵盖物理层、网络层和业务层的综合评估方法，致使运维人员难以通过网络监测等方式全面、准确地判断网络通道的实际质量。为解决以上问题，首先对影响光接入网通道质量的关键因素进行了深入分析，提出了面向多层次、多指标的光接入网通道质量综合评估模型，然后设计了SA-BP神经网络算法对多指标参数进行训练，从而实现通道质量的准确评估。通过仿真表明，提出的评估方法具有较高的评估精度和稳定度，便于提升网络运维的质量和效率。

Abstract

So far

existing works related to quality evaluation of channel mainly focused on equipment layer and network layer in optical access network.Most of researches lack synthesis evaluation methods covering physical layer

network layer and business layer.As a result

it is hard for administrators to judge the actual quality of channel by network monitoring completely and accurately.To solve this problem

key influence factors of channel quality in optical access network was analyzed firstly

and a comprehensive multi-layer-multi-index evaluation model of channel quality was proposed.Then a SA-BP neural network algorithm was designed to train the parameters of the proposed evaluation model to make the result more accurate.The simulation results show that the proposed method has higher accuracy and stability

and can improve the quality and efficiency of network operation and maintenance.

关键词

Keywords

references

刘国军 , 侯兴哲 , 王楠 , 等 . 智能配用电通信综合网管系统研究 [J ] . 电网技术 , 2012 , 36 ( 1 ): 12 - 17 .

LIU G J , HOU X Z , WANG N , et al . An integrated network management system for communication of smart power distribution and utilization grid [J ] . Power System Technology , 2012 , 36 ( 1 ): 12 - 17 .

赵炜妹 , 郭庆琳 , 孙晓霞 , 等 . EPON综合网管系统的研究与实现 [J ] . 电力系统通信 , 2010 , 31 ( 2 ): 41 - 44 .

ZHAO W M , GUO Q L , SUN X X , et al . Research and implemen-tation of EPON integrated network management system [J ] . Tele-communications for Electric Power System , 2010 , 31 ( 2 ): 41 - 44 .

陈宁宁 . 智能配用电通信网设备运行质量综合评估系统的研究与实现 [D ] . 北京:北京邮电大学 , 2014 .

CHEN N N . Research and realization of comprehensive evalua-tion system for equipment operation quality of intelligent dis-tribution electric communication network [D ] . Beijing:Beijing University of Posts and Telecommunications , 2014 .

张冬艳 , 胡铭曾 , 张宏莉 . 基于测量的网络性能评价方法研究 [J ] . 通信学报 , 2006 , 27 ( 10 ): 74 - 79 .

ZHANG D Y , HU M C , ZHANG H L . Study on network per-formance evaluation method based on measurement [J ] . Journal on Communications , 2006 , 27 ( 10 ): 74 - 79 .

张奕奎 , 邱雪松 , 成璐 . 基于策略的业务质量评价方法 [J ] . 计算机工程 , 2007 , 33 ( 13 ): 109 - 111 .

ZHANG Y K , QIU X S , CHENG L . Policy-based approach for service quality assessment [J ] . Computer Engineering , 2007 , 33 ( 13 ): 109 - 111 .

Telemanagement Forum . SLA management handbook:GB917 [S ] . 2010 .

孙蕾 . 智能电网管理评价指标体系与多属性分析模型研究 [D ] . 北京:华北电力大学 , 2015 .

SUN L . Research on evaluation index system and mul-ti-attribute analysis model of smart grid management [D ] . Bei-jing:North China Electric Power University , 2015 .

ZHANG Y , NIU D , LIU J . The evaluation of thermal power enterprise environmental sustainable development based on SA-BP neural network [C ] // International Conference on Environmental Science and Information Application Technology,July 17-18,2010,Wuhan,China . Piscataway:IEEE Press , 2010 : 674 - 677 .

杨小彬 , 李和明 , 尹忠东 , 等 . 基于层次分析法的配电网能效指标体系 [J ] . 电力系统自动化 , 2013 , 37 ( 21 ): 146 - 150 .

YANG X M , LI H M , YIN Z D , et al . Energy efficiency index system for distribution network based on analytic hierarchy process [J ] . Automation of Electric Power Systems , 2013 , 37 ( 21 ): 146 - 150 .

ZHANG H L , FANG B X , HU M Z , et al . A survey on internet measurement and analysis [J ] . Journal of Software , 2003 , 93 ( 14 ): 110 - 116 .

田景文 , 高美娟 . 人工神经网络算法研究及应用 [M ] . 北京 : 北京理工大学出版社 , 2006 .

TIAN J W , GAO M J . Research and application of artificial neural network algorithm [M ] . Beijing : Beijing Institute of Technology Press , 2006 .

Views

660

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-level and multi-index planning and evaluation method for optical network

A novel low cost bidirectional transmission coherent passive optical network system

Related Author

Xiaohong CAO

Siya XU

·ingjie WANG

Botao ·U

Shunli QIU

Yi YANG

Rong HU

Related Institution

China State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications

⁰