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Knowledge Discovery Through Data Visualization Of Drive Test Data
Shalini Saxena, Abhijit S. Pandya, Robert Stone, Saeed Rajput, Sam Hsu
Pages - 559 - 568     |    Revised - 12-02-2010     |    Published - 19-02-2010
Volume - 3   Issue - 6    |    Publication Date - January 2010  Table of Contents
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KEYWORDS
Mobility Patterns, hand-offs, Drive Test, Mobile phones
ABSTRACT
This paper focuses on the analysis of a large volume of drive test data and the identification of adverse trends or aberrant behavior of a mobile handset under test by means of drive test data visualization. The first target application was to identify poor mobility decisions that are made by the handsets in calls. The goal was to compare a set of behaviors from a baseline unit (one accepted to generally operate well). We were able to identify a particular call that was exhibiting a different path (talking to a different cell than expected or taking longer to move to a new cell). In this paper we develop a mobility tool that evaluates the handset’s performance by means of mapping the handoffs on the Google Maps. The mapping of the handoffs by means of the Google Maps were very powerful in identifying the above mentioned mobility patterns.
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Miss Shalini Saxena
- United States of America
shalinisaxena1@gmail.com
Mr. Abhijit S. Pandya
- United States of America
Mr. Robert Stone
- United States of America
Mr. Saeed Rajput
- United States of America
Dr. Sam Hsu
- United States of America