Correlative parameters' analysis of auto-regressive prediction in traffic load's measurement Academic Article

abstract

• This paper analyzes the auto-regressive prediction model of the two parameters. It makes a comparison between the SCV and packet number prediction effect of real traffic load of NLANR and the effect on the total traffic load estimation. By a lot of simulation experiments and analysis of data, the two parameters value in the prediction model are got, which is very important in traffic measurement.

authors

• Chen, Jianer

published proceedings

• Jisuanji Gongcheng/Computer Engineering

author list (cited authors)

• Xiao, X., Wang, J., & Chen, J.

complete list of authors

• Xiao, X||Wang, J||Chen, J

publication date

• March 2006

published in

• Jisuanji Gongcheng/Computer Engineering  Journal

start page

• 130

end page

• 133

volume

• 32

issue

• 6