Principal Component Analysis of Mobility Data from an Operational GPRS Network

Author

Dumard, Charlotte ; Ricciato, Fabio ; Zemen, Thomas

Author_Institution

Forschungszentrum Telekommunikation Wien

fYear

2006

fDate

25-27 Oct. 2006

Firstpage

1

Lastpage

5

Abstract

We present a preliminary analysis of mobility data collected from an operational GPRS network. The input data are time-series counting the number of mobile stations present in each of 126 sample routing areas at equally spaced instants (5 min) during one full week. The time-series were extracted from packet-level traces captured by passively monitoring a subset of the Gb links of the network of Mobilkom Austria AG & Co KG during October 2004. We apply the principal component analysis (PCA) to this dataset. The PCA offers a simple method for classifying the routing areas into two main groups, residential and business areas, plus a few "atypical" ones. Additionally, we address the problem of robustness of the PCA to temporary local gaps in the input data

Keywords

cellular radio; packet radio networks; principal component analysis; telecommunication network routing; time series; Mobilkom Austria AG & Co KG; equally spaced instants; mobile stations; mobility data; operational GPRS network; packet-level traces; principal component analysis; routing areas; time-series data; Data analysis; Data mining; Ground penetrating radar; Land mobile radio cellular systems; Monitoring; Portable computers; Principal component analysis; Robustness; Routing; Telecommunication traffic;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking in China, 2006. ChinaCom '06. First International Conference on

Conference_Location

Beijing

Print_ISBN

1-4244-0463-0

Electronic_ISBN

1-4244-0463-0

Type

conf

DOI

10.1109/CHINACOM.2006.344731

Filename

4149967