Abstract : 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.
https://hal.inria.fr/hal-01531963 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Friday, June 2, 2017 - 11:23:21 AM Last modification on : Wednesday, February 2, 2022 - 3:57:31 PM Long-term archiving on: : Wednesday, December 13, 2017 - 7:18:35 AM
Yuedong Xu, Eitan Altman, Rachid El-Azouzi, Salah Eddine Elayoubi, Majed Haddad. QoE Analysis of Media Streaming in Wireless Data Networks. 11th International Networking Conference (NETWORKING), May 2012, Prague, Czech Republic. pp.343-354, ⟨10.1007/978-3-642-30054-7_27⟩. ⟨hal-01531963⟩