Quality-Control algorithm for adaptive streaming services over wireless channels

García Lobo, Sergio Carlos; Cabrera Quesada, Julian y 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.


Título: Quality-Control algorithm for adaptive streaming services over wireless channels
  • García Lobo, Sergio Carlos
  • Cabrera Quesada, Julian
  • García Santos, Narciso
Tipo de Documento: Artículo
Título de Revista/Publicación: IEEE Journal of Selected Topics in Signal Processing
Fecha: Febrero 2015
Volumen: 9
Palabras Clave Informales: Adaptive streaming, DASH, quality of experience, stochastic dynamic programming
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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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.

Proyectos asociados

Gobierno de EspañaTEC2010-20412Sin especificarSin especificarAñadiendo percepción de profundidad a las comunicaciones visuales (enhanced 3dtv)
FP7ITEA2-11012Sin especificarSin especificarSin especificar
Gobierno de EspañaIPT-2012-0306-430000RECOPUBLISin especificarRed Cooperativa e interactiva de PUBLIcidad digital dotada de sistemas de gestión de medios

Más información

ID de Registro: 41375
Identificador DC: http://oa.upm.es/41375/
Identificador OAI: oai:oa.upm.es:41375
Identificador DOI: 10.1109/JSTSP.2014.2331912
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6838956
Depositado por: Memoria Investigacion
Depositado el: 06 Jul 2016 17:20
Ultima Modificación: 06 Jul 2016 17:20
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