Title :
Traffic Forecasting Based on Chaos Analysis in GSM Communication Network
Author :
Hu, Xianhua ; Wu, Jie
Author_Institution :
South China Univ. of Technol., Guangzhou
Abstract :
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.
Keywords :
cellular radio; low-pass filters; telecommunication traffic; GSM; chaos analysis; communication network; data selection; low-pass filtering; prediction algorithm design; traffic forecasting; traffic time series; Chaotic communication; Communication networks; Communication system traffic control; Educational institutions; GSM; Mobile communication; Stochastic processes; Telecommunication traffic; Time series analysis; Trajectory;
Conference_Titel :
Computational Intelligence and Security Workshops, 2007. CISW 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-0-7695-3073-4
DOI :
10.1109/CISW.2007.4425623
