RT Conference Proceedings
T1 Throughput-based quality adaptation for DASH in 5G mobile networks
A1 Aguilar-Armijo, Jesús
A1 Vaca-Rubio, Cristian J.
A1 Gómez-Paredes, Gerardo
A1 Aguayo-Torres, María del Carmen
A1 Entrambasaguas-Muñoz, José Tomás
K1 Vídeo
AB 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.
YR 2019
FD 2019-07-24
LK https://hdl.handle.net/10630/18129
UL https://hdl.handle.net/10630/18129
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026