Comparison of wavelet families with application to WiMAX traffic forecasting

Author

Stolojescu, Cristina ; Railean, Ion ; Moga, Sorin ; Isar, Alexandru

Author_Institution

Commun. Dept., Politeh. Univ., Timisoara, Romania

fYear

2010

fDate

20-22 May 2010

Firstpage

932

Lastpage

937

Abstract

This paper deals with a wavelet based forecasting method for WiMAX traffic time series. It is based on an algorithm composed by a few steps. One of these steps is the computation of the Stationary Wavelet Transform, SWT. This transform has two parameters: the mother wavelet which generates the decomposition and the number of decomposition levels. The aim of this paper is to propose a strategy for the selection of the first parameter. Our work is centered on the following wavelet families Daubechies, Coiflet, Symmlet, Biorthogonal and Reverse Biorthogonal. Some simulation results prove the efficiency of the proposed selection method.

Keywords

WiMax; telecommunication traffic; time series; wavelet transforms; Coiflet wavelet; Daubechies wavelet; Symmlet wavelet; WiMAX traffic forecasting; decomposition level; mother wavelet; reverse biorthogonal wavelet; stationary wavelet transform; time series; wavelet based forecasting; wavelet families; Communication system traffic control; Continuous wavelet transforms; Neural networks; Predictive models; Telecommunication traffic; Time frequency analysis; Traffic control; Wavelet analysis; Wavelet transforms; WiMAX; Wavelets; WiMAX traffic; forecasting; time series; time-frequency localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Optimization of Electrical and Electronic Equipment (OPTIM), 2010 12th International Conference on

Conference_Location

Basov

ISSN

1842-0133

Print_ISBN

978-1-4244-7019-8

Type

conf

DOI

10.1109/OPTIM.2010.5510403

Filename

5510403