Heterogeneous wireless network traffic load estimation based on chaos theory

Xue Han*, Yucheng Zhang, Liang Huang, Jinglin Shi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

With the rapid development of high-speed wireless communication technology, more novel and different wireless networks are emerging. The co-existence of multiple wireless networks has made the wireless network environment complex and heterogeneous. Traffic flow characteristics study and effective traffic prediction algorithm selection are very important for optimal allocation of network resources, network protocol design and improvement of service quality in this heterogeneous wireless network. This paper uses non-statistical method which is based on chaos theory to make analysis of heterogeneous wireless network traffic flow characteristics. On that basis, a traffic model which uses phase space reconstruction algorithm on multivariate traffic time series is proposed and used for traffic prediction. Simulation results show that the proposed traffic prediction model can achieve better prediction performance.

Original languageEnglish
Title of host publicationIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 2012
EventIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Yokohama, Japan
Duration: 6 May 20129 Jun 2012

Other

OtherIEEE 75th Vehicular Technology Conference, VTC Spring 2012
CountryJapan
CityYokohama
Period6/05/129/06/12

Fingerprint Dive into the research topics of 'Heterogeneous wireless network traffic load estimation based on chaos theory'. Together they form a unique fingerprint.

Cite this