Visualization and cell data analysis tool based on XML log files

Abstract

Abstract-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.

A Weighted-Range Classification Model for Localizing Cell using Crowdsource Data

“…Other approaches include extracting data from base stations and internal databases in XML format. A study was done using XML data to visualize good cell and bad cell using Google map to relate mobile user behavior and cell performance [29]. However,…”