Chaotic forecast of the signaling traffic in NGN

Author

Runjie, Liu ; Jinyuan, Shen ; Duanjin, Zhang ; Weixin, Mu

Author_Institution

Sch. of Inf. Eng., Zhengzhou Univ., Zhengzhou

fYear

2008

fDate

16-18 July 2008

Firstpage

198

Lastpage

201

Abstract

Traffic forecast is of great significance in the research field of resource allocation and congestion control. Based on the chaotic characteristics of the signaling traffic in the next generation network (NGN), a weighted average maximum Lyapunov exponent forecast (WAMLEF) chaotic forecast method is provided. The simulation results demonstrate that the average error of the proposed method is 8% less than that of the maximum Lyapunouv exponent chaotic forecast method. The presented method has better prediction performance and establishes foundation for signaling network resource allocation and traffic flow control.

Keywords

Lyapunov methods; chaos; forecasting theory; resource allocation; telecommunication congestion control; chaotic forecast method; congestion control; maximum Lyapunouv exponent chaotic forecast; network resource allocation; next generation network; signaling traffic; traffic flow control; traffic forecast; weighted average maximum Lyapunov exponent forecast; Chaos; Chaotic communication; Communication system traffic control; Next generation networking; Predictive models; Resource management; Telecommunication traffic; Traffic control; Chaos; Lyapunov exponents; Next Generation Network; Signal; Traffic characteristics;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605151

Filename

4605151