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Predictive Models for Seamless Mobility
Responsible organisation
2010 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

User’s location modeling and prediction is complex and a challenge for seamless mobility in heterogeneous networks. Markov models and information-theoretic techniques are appropriate to perform location prediction. The paper characterizes user’s location as a discrete sequence. We survey and describe Markovian methods and information-theoretic techniques for location prediction.

Place, publisher, year, edition, pages
Zakopane: IITiS , 2010.
Keyword [en]
Location prediction, Discrete Markov models
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-7314Local ID: oai:bth.se:forskinfo0E8FDD2B5ADB1EB0C12579B900525FCFISBN: 978-83-926054-4-7 (print)OAI: oai:DiVA.org:bth-7314DiVA: diva2:834918
Conference
Sixth International Working Conference on Performance Modeling and Evaluation of Heterogeneous Networks, HET-NETs
Available from: 2012-09-18 Created: 2012-03-06 Last updated: 2015-06-30Bibliographically approved

Open Access in DiVA

fulltext(203 kB)35 downloads
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File name FULLTEXT01.pdfFile size 203 kBChecksum SHA-512
fec9dc281d7eceb7822e3160f473684a8d0c21363d23b0f6e1fd352d4447bfc7a50c8267661989a98c61764ac0d3534fae4eb5ce74ffd94ea7551fed4ac911fb
Type fulltextMimetype application/pdf

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Popescu, Adrian
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • Other locale
More languages
Output format
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  • asciidoc
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