Close category search window
 

Traffic Forecasting Based on Chaos Analysis in GSM Communication Network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Xianhua Hu ; South China Univ. of Technol., Guangzhou ; Jie Wu

In this paper, some chaotic characteristics of the traffic time series in the GSM network are studied. Following a low-pass filtering, the traffic time series is reconstructed as a phase trajectory by properly choosing some parameters. Through the reconstructed trajectory and corresponding data analysis, it can be found that the traffic time series in the GSM network reveals some chaotic characteristics. Experimental results show the chaotic characteristics are obvious for short term. Moreover, the results supply some hints for the prediction algorithm design and data selection.

Published in:
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on

Date of Conference: 15-19 Dec. 2007

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.