Quality-Control algorithm for adaptive streaming services over wireless channels

García Lobo, Sergio Carlos and Cabrera Quesada, Julian and García Santos, Narciso (2015). Quality-Control algorithm for adaptive streaming services over wireless channels. "IEEE Journal of Selected Topics in Signal Processing", v. 9 (n. 1); pp. 50-59. ISSN 1932-4553. https://doi.org/10.1109/JSTSP.2014.2331912.

Description

Title: Quality-Control algorithm for adaptive streaming services over wireless channels
Author/s:
  • García Lobo, Sergio Carlos
  • Cabrera Quesada, Julian
  • García Santos, Narciso
Item Type: Article
Título de Revista/Publicación: IEEE Journal of Selected Topics in Signal Processing
Date: February 2015
ISSN: 1932-4553
Volume: 9
Subjects:
Freetext Keywords: Adaptive streaming, DASH, quality of experience, stochastic dynamic programming
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (4MB) | Preview

Abstract

Dynamic Adaptive Streaming over HTTP (DASH) is a recent MPEG standard for IP video delivery whose aim is the convergence of existing adaptive-streaming proprietary solutions. However, it does not impose any adaptation logic for selecting the quality of the media segments requested by the client, which is crucial to cope effectively with bandwidth fluctuations, notably in wireless channels. We therefore propose a solution to this control problem through Stochastic Dynamic Programming (SDP). This approach requires a probabilistic characterization of the system, as well as the definition of a cost function that the control strategy aims to minimize. This cost function is designed taking into account factors that may influence the quality perceived by the users. Unlike previous works, which compute control policies online by learning from experience, our algorithm solves the control problem offline, leading promptly to better results. In addition, we compared our algorithm to others during a streaming simulation and we analyzed the objective results by means of a Quality of Experience (QoE) oriented metric. Moreover, we conducted subjective tests to complete the evaluation of the performance of our algorithm. The results show that our proposal outperforms the other approaches in terms of both the QoE-oriented metric and the subjective evaluation.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2010-20412UnspecifiedUnspecifiedAñadiendo percepción de profundidad a las comunicaciones visuales (enhanced 3dtv)
FP7ITEA2-11012UnspecifiedUnspecifiedUnspecified
Government of SpainIPT-2012-0306-430000RECOPUBLIUnspecifiedRed Cooperativa e interactiva de PUBLIcidad digital dotada de sistemas de gestión de medios

More information

Item ID: 41375
DC Identifier: http://oa.upm.es/41375/
OAI Identifier: oai:oa.upm.es:41375
DOI: 10.1109/JSTSP.2014.2331912
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6838956
Deposited by: Memoria Investigacion
Deposited on: 06 Jul 2016 17:20
Last Modified: 06 Jul 2016 17:20
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM