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oai:riuma.uma.es:10630/181292026-02-03T12:16:19Zcom_10630_2254col_10630_37959

00925njm 22002777a 4500 dc Aguilar-Armijo, Jesús author Vaca-Rubio, Cristian J. author Gómez-Paredes, Gerardo author Aguayo-Torres, María del Carmen author Entrambasaguas-Muñoz, José Tomás author 2019-07-24 Video 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. https://hdl.handle.net/10630/18129 Vídeo Throughput-based quality adaptation for DASH in 5G mobile networks