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dc.contributor.authorAguilar-Armijo, Jesús
dc.contributor.authorVaca-Rubio, Cristian J.
dc.contributor.authorGomez-Paredes, Gerardo 
dc.contributor.authorAguayo-Torres, Maria del Carmen 
dc.contributor.authorEntrambasaguas-Muñoz, José Tomás 
dc.date.accessioned2019-07-24T11:25:02Z
dc.date.available2019-07-24T11:25:02Z
dc.date.created2019
dc.date.issued2019-07-24
dc.identifier.urihttps://hdl.handle.net/10630/18129
dc.description.abstractVideo streaming in mobile networks is currently the most widely used service and its usage is expected to grow exponentially in the next years. Due to the changing conditions of the radio interface, techniques likes Dynamic Adaptive Streaming over HTTP (DASH) allows the user equipment to request the video coding rate that better matches the instantaneous network capacity. There are three types of algorithms to select the appropriate video coding rate based on different types of quality of service metrics: throughput-based, buffer-based and hybrid. In this paper we present three different versions of a throughput-based algorithm, comparing their performance in terms of mean and mode of the video quality index as well as the number of overlapping video chunks. We focus on the end-user quality of experience to evaluate which is the implementation that optimizes the performance.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectVídeoen_US
dc.subject.other5Gen_US
dc.subject.otherDASHen_US
dc.titleThroughput-based quality adaptation for DASH in 5G mobile networksen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroE.T.S.I. Telecomunicaciónen_US
dc.relation.eventtitleXXXIV Simposio Nacional de la Unión Científica Internacional de Radio, URSI 2019en_US
dc.relation.eventplaceSevilla, Españaen_US
dc.relation.eventdate4-6 septiembre 2019en_US


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