About: Predicting User QoE Satisfaction in Current Mobile Networks

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Intensive competition between network operators as well as steady increase in mobile traffic call for additional investments into the networking infrastructure. Keeping current mobile networks profitable, the following criteria should be satisfied: end-user quality expectations need to be fulfilled on the one hand and service quality overprovisioning should be eliminated on the other. This generates growing demand for adequate QoE estimation models accounting for dominant mobile data services. Moreover, novel models have to fulfill requirements of good applicability and high accuracy. Our approach in this paper details an advanced QoE estimation model, extensively verified with appropriate statistical tools, for the most popular mobile web services: browsing, download, and upload. The proposed model follows from a recent extensive QoE assessment and utilizes the bitrate together with the initial loading delay as well-measurable input parameters. Targeted to estimate the mean opinion score, our propose Intensive competition between network operators as well as steady increase in mobile traffic call for additional investments into the networking infrastructure. Keeping current mobile networks profitable, the following criteria should be satisfied: end-user quality expectations need to be fulfilled on the one hand and service quality overprovisioning should be eliminated on the other. This generates growing demand for adequate QoE estimation models accounting for dominant mobile data services. Moreover, novel models have to fulfill requirements of good applicability and high accuracy. Our approach in this paper details an advanced QoE estimation model, extensively verified with appropriate statistical tools, for the most popular mobile web services: browsing, download, and upload. The proposed model follows from a recent extensive QoE assessment and utilizes the bitrate together with the initial loading delay as well-measurable input parameters. Targeted to estimate the mean opinion score, our propose (en)
Title	Predicting User QoE Satisfaction in Current Mobile Networks Predicting User QoE Satisfaction in Current Mobile Networks (en)
skos:prefLabel	Predicting User QoE Satisfaction in Current Mobile Networks Predicting User QoE Satisfaction in Current Mobile Networks (en)
skos:notation	RIV/00216305:26220/14:PU109610!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0072), P(EE2.3.30.0005), S
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Vajsar, Pavel Hošek, Jiří Nagy, Ľuboš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	38741
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU109610
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Empirical modeling, mobile data service, analytical prediction, QoE, user satisfaction. (en)
http://linked.open.../riv/klicoveSlovo	QoE user satisfaction. Empirical modeling analytical prediction mobile data service
http://linked.open...ontrolniKodProRIV	[011927361877]
http://linked.open...v/mistoKonaniAkce	Sydney
http://linked.open...i/riv/mistoVydani	Sydney, Australia
http://linked.open...i/riv/nazevZdroje	Proceedings of the IEEE International Conference on Communications (ICC) 2014
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	10 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre of sensor, information and communication systems Support of Interdisciplinary Excellence Research Teams Establishment at BUT
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Hošek, Jiří Nagy, Ľuboš Ries, Michal Vajsar, Pavel Hais, Petr Penížek, Radek Šulc, Zdeněk Andreev, Sergey Galinina, Olga Koucheryavy, Yevgeni
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-06-10 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-2004-4
http://localhost/t...ganizacniJednotka	26220

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