Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (2): 219-222.

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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

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

CLC Number: 

  • TP393