Published May 21, 2012
| Version v1
Conference paper
QoE Analysis of Media Streaming in Wireless Data Networks
Contributors
Others:
- Avignon Université (AU)
- Models for the performance analysis and the control of networks (MAESTRO) ; Centre Inria d'Université Côte d'Azur (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Orange Labs
- Robert Bestak
- Lukas Kencl
- Li Erran Li
- Joerg Widmer
- Hao Yin
- TC 6
Description
The purpose of this paper is to model quality of experience (QoE) of media streaming service in a shared fast-fading channel. In this context, the arrival and the service processes of the playout buffer do not have the same job size. We present an analytical framework based on Takács Ballot theorem to compute the probability of buffer starvation and the distribution of playback intervals. We model the arrival processes of Proportional Fair and Round Robin schedulers, and feed them into this framework to study the impact of prefetching on the starvation behavior. Our simulations match the developed model very well if the base station knows the playback rate and the channel gain. Furthermore, we make an important observation that QoE metrics predicted by users are very sensitive to the measurement error of arrival process.
Abstract
Part 7: Wireless Networks IAbstract
International audienceAdditional details
Identifiers
- URL
- https://inria.hal.science/hal-01531963
- URN
- urn:oai:HAL:hal-01531963v1
Origin repository
- Origin repository
- UNICA