Predicting user-cell association in cellular networks from tracked data
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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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.