DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation

Aguayo Ortuño, Miguel Ángel, Bellido Triana, Luis, Lentisco Sánchez, Carlos Mariano and Pastor Martín, Encarnación (2018). DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation. "IEEE Transactions on Multimedia", v. 20 (n. 5); pp. 1224-1231. ISSN 1520-9210. https://doi.org/10.1109/TMM.2017.2764325.


Title: DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation
  • Aguayo Ortuño, Miguel Ángel
  • Bellido Triana, Luis
  • Lentisco Sánchez, Carlos Mariano
  • Pastor Martín, Encarnación
Item Type: Article
Título de Revista/Publicación: IEEE Transactions on Multimedia
Date: May 2018
ISSN: 1520-9210
Volume: 20
Freetext Keywords: Adaptive streaming over HTTP; adaptive forgetting factor; mobile communication; multimedia content delivery; throughput estimation
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Otro
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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The wide adoption of multimedia service-capable mobile devices, the availability of better networks with higher bandwidths, and the availability of platforms offering digital content has led to an increasing popularity of multimedia streaming services. However, multimedia streaming services can be subject to different factors that affect the quality perceived by the users, such as service interruptions or quality oscillations due to changing network conditions, particularly in mobile networks. Dynamic Adaptive Streaming over HTTP (DASH), leverages the use of content-distribution networks and the capabilities of the multimedia devices to allow multimedia players to dynamically adapt the quality of the media streaming to the available bandwidth and the device characteristics. While many elements of DASH are standardized, the algorithms providing the dynamic adaptation of the streaming are not. The adaptation is often based on the estimation of the throughput or a buffer control mechanism. In this paper, we present a new throughput estimation adaptation algorithm based on a statistical method named Adaptive Forgetting Factor (AFF). Using this method, the adaptation logic is able to react appropriately to the different conditions of different types of networks. A set of experiments with different traffic profiles show that the proposed algorithm improves video quality performance in both wired and wireless environments.

Funding Projects

Government of Spain
Redes definidas por software para la prestación y gestión de servicios en entornos residenciales y de campus
Government of Spain
Elastic Networks: nuevos paradigmas de redes elásticas para un mundo radicalmente basado en Cloud y Fog Computing

More information

Item ID: 52160
DC Identifier: https://oa.upm.es/52160/
OAI Identifier: oai:oa.upm.es:52160
DOI: 10.1109/TMM.2017.2764325
Official URL: https://ieeexplore.ieee.org/document/8071008
Deposited by: Memoria Investigacion
Deposited on: 05 Nov 2018 18:03
Last Modified: 05 Nov 2018 18:03
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