DocumentCode :
1709494
Title :
The application of database correlation methods for location detection in GSM networks
Author :
Debono, Carl James ; Calleja, Christian
Author_Institution :
Dept. of Commun. & Comput. Eng., Univ. of Malta, Msida
fYear :
2008
Firstpage :
1324
Lastpage :
1329
Abstract :
A study on the feasibility of applying database correlation methods to locate mobile stations (MSs) within a live GSM cellular network is presented. The mobile station´s signal strength values, extracted from the periodic MS measurement reports at the Abis interface, were correlated with the values obtained from a radio network coverage prediction tool, available at the operator´s premises, to predict the user´s location. The main advantage of this solution is that it uses information that already resides, or is being exchanged, within the network and does not necessitate any additional hardware in the infrastructure. The results obtained were compared with actual road tests, utilizing global positioning systems (GPS), to determine the error of the system. The resulting error correlates well with other studies which do not use dedicated location detection infrastructures.
Keywords :
cellular radio; database management systems; telecommunication computing; Abis interface; GSM cellular network; database correlation methods; global positioning systems; location detection; location detection infrastructures; mobile stations; radio network coverage prediction tool; signal strength values; Correlation; Data mining; Databases; GSM; Global Positioning System; Hardware; Land mobile radio cellular systems; Radio network; Roads; System testing; Database-correlation Method; GSM Network; Location Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
Type :
conf
DOI :
10.1109/ISCCSP.2008.4537431
Filename :
4537431
Link To Document :
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