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Network Exceptions Modelling Using Hidden Markov Model: A Case Study of Ericsson’s DroppedCall Data
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In telecommunication, the series of mobile network exceptions is a processwhich exhibits surges and bursts. The bursty part is usually caused by systemmalfunction. Additionally, the mobile network exceptions are often timedependent. A model that successfully captures these aspects will make troubleshootingmuch easier for system engineers. The Hidden Markov Model(HMM) is a good candidate as it provides a mechanism to capture both thetime dependency and the random occurrence of bursts. This thesis focuses onan application of the HMM to mobile network exceptions, with a case study ofEricsson’s Dropped Call data. For estimation purposes, two methods of maximumlikelihood estimation for HMM, namely, EM algorithm and stochasticEM algorithm, are used.

Place, publisher, year, edition, pages
2014. , 43 p.
Keyword [en]
Hidden Markov Model, Mobile Network, Stochastic EM algorithm
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-251382OAI: oai:DiVA.org:uu-251382DiVA: diva2:805925
External cooperation
Ericsson
Subject / course
Statistics
Educational program
Master Programme in Statistics
Presentation
2014-06-02, Ekonomikum, Kyrkogårdsgatan 10, Uppsala, 09:16 (English)
Supervisors
Examiners
Available from: 2015-07-24 Created: 2015-04-17 Last updated: 2015-07-24Bibliographically approved

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CiteExportLink to record
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  • apa
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