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Visualization and cell data analysis tool based on XML log files
Luleå tekniska universitet.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
Faculty of Engineering and Computing, Dublin City University.
Number of Authors: 3
2015 (English)In: Proceedings of 40th Annual IEEE Conference on Local Computer Networks Conference Workshops (LCN Workshops 2015): LCN Workshops / [ed] Salil Kanhere; Jens Tölle; Soumaya Cherkaoui, Piscataway, NJ: IEEE Communications Society, 2015, 878-883 p.Conference paper (Refereed)
Abstract [en]

Mobility management is an essential feature of cellular networks. High accuracy of mobile user positioning is needed to handle mobility efficiently enough and bad cell data can harm this feature significantly. Inaccuracy of cell shapes, lack of cell data measurements, and inaccurate coordination in a geographical area are major shortcomings when it comes to positioning of mobile users in cellular networks. This paper describes a tool that visualizes and analyzes cell data based on XML log files. The tool evaluates a mathematical expression to identify bad cells from the log file and successfully fixes most of the bad cells identified. The tool repairs bad cell shapes in order to achieve better positioning of mobile users.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 878-883 p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
URN: urn:nbn:se:ltu:diva-34563DOI: 10.1109/LCNW.2015.7365941Local ID: 8c970287-8ddb-4a3f-9455-dfd99c526952ISBN: 978-1-4673-6773-8ISBN: 978-1-4673-6772-1 (PDF)OAI: diva2:1007814
Annual IEEE Conference on Local Computer Networks (LCN 2015) : The 9th IEEE LCN Workshop On User MObility and VEhicular Networks 26/10/2015 - 29/10/2015

Validerad; 2016; Nivå 1; 20160617 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2016-12-09Bibliographically approved

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