2026-06-07T05:14:25Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/181292026-02-03T12:16:19Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Aguilar-Armijo, Jesús
author
Vaca-Rubio, Cristian J.
author
Gómez-Paredes, Gerardo
author
Aguayo-Torres, María del Carmen
author
Entrambasaguas-Muñoz, José Tomás
2019-07-24T11:25:02Z
2019-07-24T11:25:02Z
2019-07-24
https://hdl.handle.net/10630/18129
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.
eng
Vídeo
Throughput-based quality adaptation for DASH in 5G mobile networks
conference output
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URL
https://riuma.uma.es/bitstreams/5088056a-46b1-4c12-b18f-3a3f03fa0f2a/download
File
MD5
e85d6cd8e0491f3b8f8a700db96f3190
364905
application/pdf
Throughput_based_quality_adaptation_for_DASH_on5G_mobile_networks.pdf