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Research and development of traffic prediction algorithms on cell level in the wide band cellular networks

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dc.contributor.author BARLADEAN, Oleg
dc.contributor.author SECRIERU, Nicolae
dc.contributor.author GHINCUL, Alexandru
dc.contributor.author GHINCUL, Olga
dc.date.accessioned 2019-12-03T12:47:20Z
dc.date.available 2019-12-03T12:47:20Z
dc.date.issued 2012
dc.identifier.citation BARLADEAN, Oleg, SECRIERU, Nicolae, GHINCUL, Alexandru et al. Research and development of traffic prediction algorithms on cell level in the wide band cellular networks. In: Telecommunications, Electronics and Informatics- ICTEI 2012: proc. of the 5th intern. conf., Technical University of Moldova, May 11-13, 2012. Chișinău, 2012, Vol. 1, pp. 23-26. ISBN 978-9975-45-082-9. en_US
dc.identifier.isbn 978-9975-45-082-9
dc.identifier.uri http://repository.utm.md/handle/5014/7213
dc.description.abstract The paper performs research and development of more efective data traffic prediction algorithms in mobile networks using data clustering on the cell level. The developed algorithms were adapted to a specific problem, namely to data with shifted trend. For artificially generated data, that imit real network data, was applied Gausian mixture algorithm to separate the current trend, after last shifting, needed for a more accuare prediction with big timestamps. There was also estimated the potential impact of prediction error if not applying clustering methods. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject prediction algorithms en_US
dc.subject clustering en_US
dc.subject shifted trends en_US
dc.subject data traffic en_US
dc.subject mobile networks en_US
dc.title Research and development of traffic prediction algorithms on cell level in the wide band cellular networks en_US
dc.type Article en_US


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