Evaluation of Q-Learning approach for HTTP adaptive streaming

Martín Gutiérrez, Virginia and Cabrera Quesada, Julian and García Santos, Narciso (2016). Evaluation of Q-Learning approach for HTTP adaptive streaming. In: "IEEE International Conference on Consumer Electronics, ICCE 2016", 7/1/2016 - 11/1/2016, Las Vegas, NV, Estados Unidos. ISBN 978-1-4673-8364-6. pp. 293-294. https://doi.org/10.1109/ICCE.2016.7430618.

Description

Title: Evaluation of Q-Learning approach for HTTP adaptive streaming
Author/s:
  • Martín Gutiérrez, Virginia
  • Cabrera Quesada, Julian
  • García Santos, Narciso
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Consumer Electronics, ICCE 2016
Event Dates: 7/1/2016 - 11/1/2016
Event Location: Las Vegas, NV, Estados Unidos
Title of Book: Proceedings of 2016 IEEE International Conference on Consumer Electronics (ICCE)
Date: 14 March 2016
ISBN: 978-1-4673-8364-6
Subjects:
Freetext Keywords: Heuristic algorithms, Bandwidth, Streaming media, Adaptation models, Channel models, Conferences, Consumer electronics
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We propose a Q-Learning-based algorithm for an HTTP Adaptive Streaming (HAS) Client that maximizes the perceived quality, taking into account the relation between the estimated bandwidth and the qualities and penalizing the freezes. The results will show that it produces an optimal control as other approaches do, but keeping the adaptiveness

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2013-48453 (MRUHDTV)UnspecifiedUnspecifiedUnspecified

More information

Item ID: 46653
DC Identifier: http://oa.upm.es/46653/
OAI Identifier: oai:oa.upm.es:46653
DOI: 10.1109/ICCE.2016.7430618
Official URL: http://ieeexplore.ieee.org/document/7430618/
Deposited by: Memoria Investigacion
Deposited on: 10 Oct 2017 16:00
Last Modified: 10 Oct 2017 16:00
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