A probabilistic approach to user mobility prediction for wireless services.

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dc.contributor.authorStynes, David A.
dc.contributor.authorBrown, Kenneth N.
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2016-12-02T10:15:20Z
dc.date.available2016-12-02T10:15:20Z
dc.date.issued2016-09
dc.date.updated2016-12-02T10:04:42Z
dc.description.abstractMobile and wireless networks have long exploited mobility predictions, focused on predicting the future location of given users, to perform more efficient network resource management. In this paper, we present a new approach in which we provide predictions as a probability distribution of the likelihood of moving to a set of future locations. This approach provides wireless services a greater amount of knowledge and enables them to perform more effectively. We present a framework for the evaluation of this new type of predictor, and develop 2 new predictors, HEM and G-Stat. We evaluate our predictors accuracy in predicting future cells for mobile users, using two large geolocation data sets, from MDC [11], [12] and Crawdad [13]. We show that our predictors can successfully predict with as low as an average 2.2% inaccuracy in certain scenarios.en
dc.description.sponsorshipScience Foundation Ireland (SFI Grant number 10/CE/I 1853, as part of CTVR)en
dc.description.statusPeer revieweden
dc.description.urihttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7571053en
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationStynes, D., Brown, K. N.;Sreenan, C. J. (2016) 'A probabilistic approach to user mobility prediction for wireless services', 2016 International Wireless Communications and Mobile Computing Conference (IWCMC) Wireless Communications and Mobile Computing Conference (IWCMC), Paphos, Cyprus, 05/09/2016- 09/12/2016. doi: 10.1109/IWCMC.2016.7577044en
dc.identifier.doi10.1109/IWCMC.2016.7577044
dc.identifier.endpage125en
dc.identifier.isbn9781509003051
dc.identifier.issn2376-6506
dc.identifier.startpage120en
dc.identifier.urihttps://hdl.handle.net/10468/3343
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofWireless Communications and Mobile Computing Conference (IWCMC), 2016 International
dc.rights© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectMobility management (mobile radio)en
dc.subjectProbabilityen
dc.subjectTelecommunication servicesen
dc.subjectG-Stat predictorsen
dc.subjectHEM predictorsen
dc.subjectGeolocation data setsen
dc.subjectMobile networksen
dc.subjectMobility predictionsen
dc.subjectNetwork resource managementen
dc.subjectProbabilistic approachen
dc.subjectProbability distributionen
dc.subjectUser mobility predictionen
dc.subjectWireless servicesen
dc.subjectHandoveren
dc.subjectHistoryen
dc.subjectMobile communicationen
dc.subjectPrediction algorithmsen
dc.subjectTraining dataen
dc.subjectLocation Based Servicesen
dc.subjectMobile networkingen
dc.subjectMobility predictionen
dc.subjectMobility and nomadicityen
dc.titleA probabilistic approach to user mobility prediction for wireless services.en
dc.typeConference itemen
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