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Mobile Cell Data Structure Quality Improvement for User Positioning Purposes
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2014 (English)In: Journal of IT convergence practice, E-ISSN 2288-0860, Vol. 2, no 2, 1-11 p., 1Article in journal (Refereed) Published
Abstract [en]

In wireless telephony networks, each cell is a geographical coverage area which can distribute frequency among cellular networks for different specific mobile network regions. Good cell and bad cell are used in the cellular network to identify the proper user position in a certain geographical area. The good cell is identified by assuming a maximum distance between latitude and longitude of two cell points with reasonable shape in a particular geographical area. The bad cell is identified while the cell shapes are become as irregular shape. However, mobile location accuracy is important for good cells data. Some cell data are not precise in shape to become good cells. Moreover, locations of handset are dependent for the accuracy of cell data shape. Most of the cases mobile operators are facing problem for the positioning purposes due to inaccuracy of the shape of cell data. The proper position accuracy of user is not visualized due to inaccuracy of cell data shape. The proposed system identifies the bad cell and repairs as good cell using visualize tool. An XML data file contains cell data information with longitude and latitude. A data base has been created to store the longitude and latitude of cell data in a standard format using PHP code. The visualize tool identify bad cell and good cell from the database. Furthermore, the tool converts the bad cell into good cell. Moreover, the tool can able to repair the cells which are not converted as good cell shape. The system can able to help to improve quality of user position accuracy for GSM and CDMA mobile operator.

Place, publisher, year, edition, pages
2014. Vol. 2, no 2, 1-11 p., 1
Research subject
Mobile and Pervasive Computing; Enabling ICT (AERI)
URN: urn:nbn:se:ltu:diva-9375Local ID: 7fc3e435-dd99-4490-bdf0-92510bc9abe8OAI: diva2:982313
NIMO - Nordic Interaction and Mobility Research Platform
Validerad; 2014; 20140707 (karand)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

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