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Fitness Function for a Subscriber
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Mobile communication has become a vital part of modern communication. The cost of network infrastructure has become a deciding factor with rise in mobile phone usage. Subscriber mobility patterns have major effect on load of radio cell in the network. The need for data analysis of subscriber mobility data is of utmost priority.

The paper aims at classifying the entire dataset provided by Telenor, into two main groups i.e. Infrastructure stressing and Infrastructure friendly with respect to their impact on the mobile network. The research aims to predict the behavior of new subscriber based on his MOSAIC group.

A heuristic method is formulated to characterize the subscribers into three different segments based on their mobility. Tetris Optimization is used to reveal the “Infrastructure Stressing” subscribers in the mobile network. All the experiments have been conducted on the subscriber trajectory data provided by the telecom operator.

The results from the experimentation reveal that 5 percent of subscribers from entire data set are “Infrastructure Stressing”. A classification model is developed and evaluated to label the new subscriber as friendly or stressing using WEKA machine learning tool. Naïve Bayes, k-nearest neighbor and J48 Decision tree are classification algorithms used to train the model and to find the relation between features in the labeled subscriber dataset 

Place, publisher, year, edition, pages
2017. , 35 p.
Keyword [en]
Classification, Machine Learning, Subscriber Mobility Analysis, Weka tool
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-13953OAI: oai:DiVA.org:bth-13953DiVA: diva2:1077185
Subject / course
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
Educational program
ETATX Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems
Presentation
2017-02-25, Aristotles J3423, Blekinge Institute of Technology, Karlskrona, Sweden., 15:30 (English)
Supervisors
Examiners
Available from: 2017-03-01 Created: 2017-02-26 Last updated: 2017-03-01Bibliographically approved

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fulltext(865 kB)41 downloads
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Podapati, Sasidhar
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf