Home // International Journal On Advances in Telecommunications, volume 4, numbers 1 and 2, 2011 // View article

Managing Quality of Experience on a Commercial Mobile TV Platform

Authors:
Vlado Menkovski
Georgios Exarchakos
Antonio Liotta
Antonio Cuadra-Sánchez

Keywords: Quality of Experience, QoE, Machine Learning, Subjective Testing, Monitoring, QoE management

Abstract:
The user perceived quality or Quality of Experience (QoE) is of significant importance to multimedia service providers because of its relevance for efficient management of provided services. However, due to its subjective nature, QoE is difficult to estimate. Subjective methods are costly and impractical, while objective methods do not correlate precisely with the subjective perception. In addition to the challenges in estimating QoE, further challenges are presented in determining the means of managing the QoE in today’s complex and varied multimedia distribution systems. As a result of the high number of components and parameters that affect the perceived quality, from content creation to delivery and presentation, the QoE aware management in these highly versatile environments becomes increasingly difficult. We present a method that uses limited initial subjective tests to develop prediction models for QoE as perceived by the viewers. This minimizes the complexities associated with subjective methods while maintaining the accuracy. Further we present a method of calculating the QoE remedies for managing the QoE per stream, based on the QoE prediction models.

Pages: 72 to 81

Copyright: Copyright (c) to authors, 2011. Used with permission.

Publication date: September 15, 2011

Published in: journal

ISSN: 1942-2601