吉林大学学报(信息科学版) ›› 2015, Vol. 33 ›› Issue (2): 219-222.

• 论文 • 上一篇    

二元时间序列模型预测3G 网络接通率

王喆a, 张丽翠a, 黄丽平b   

  1. 吉林大学 a. 通信工程学院; b. 计算机科学与技术学院, 长春130012
  • 收稿日期:2014-09-09 出版日期:2015-03-24 发布日期:2015-05-29
  • 作者简介:王喆(1989—), 男, 长春人, 吉林大学硕士研究生, 主要从事通信网理论研究, (Tel)86-18004302421(E-mail)wangzhe-wzwzwz@126.com; 张丽翠(1967—), 女, 长春人, 吉林大学副教授, 硕士生导师, 主要从事通信网理论研究, (Tel)86- 431-85152013(E-mail)21c67961@163. com。

Connection Rate Prediction Method by Bivariate Time Series

WANG Zhea, ZHANG Licuia, HUANG Lipingb   

  1. a. College of Communication Engineering; b. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2014-09-09 Online:2015-03-24 Published:2015-05-29

摘要:

为提高对网络性能预判的准确度, 提出了运用多元时间序列的相关性计算方法, 时间序列的模糊化方法和模糊规则矩阵的构建方法, 建立了一种基于二元时间序列的接通率预测模型, 将拥塞率序列融入到对接通率的预测过程中。该方法克服了传统网络性能指标预测方法中, 只考虑单一时间序列, 不考虑其他变量与待预测变量的相关性的弊端。仿真实验结果表明, 该模型能够实现网络接通率的有效预测, 为网络性能综合预测提供理论基础和新方案。提高了预测精度。

关键词: 接通率预测, 模糊时间序列, 二元预测模型, 3G 网络性能

Abstract:

In order to improve the accuracy of network performance pre judgment, proposes a prediction model based on time series connected to two yuan rate, congestion rate sequence into the prediction process of docking pass rate. The calculation method of correlation using multivariate time series, fuzzy time series method and construction method of fuzzy rule matrix. The method overcomes the disadvantages of traditional network performance prediction method, considered only a single time series, without considering the drawbacks of other variables and forecast variables correlation of. Simulation results show that, the model can efficiently predict the network connection rate, provides the theory basis and the new scheme for comprehensive prediction of network performance.

Key words: connection rate prediction, fuzzy time series, bivariate prediction model, performance of 3G networks

中图分类号: 

  • TP393