Data-driven QoE analysis on video streaming in mobile networks

Qingyong WANG, Hong Ning DAI, Hao WANG, Di WU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

Abstract

There is a substantial body of literature on analyzing Quality of Experience (QoE) of Video Streaming while there are few studies on standardizing QoE assessments. One of recent proposals on standardizing QoE of video streaming is video Mean Opinion Score (vMOS), which can model QoE of video streaming in 5 discrete grades. However, there are few studies on quantifying vMOS and investigating the relation between vMOS and other Quality of Service (QoS) parameters. In this paper, we address this concern by proposing a data-driven QoE analysis framework on video streaming QoE data. Moreover, we conduct extensive experiments on realistic dataset and verify the effectiveness of our proposed model. Our results show that vMOS is essentially affected by many QoS parameters such as initial buffering latency, stalling ratio and stalling times. Interestingly, we have found that a small set of QoS parameters play an important role in determining vMOS.

Original languageEnglish
Title of host publicationProceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
EditorsGregorio Martinez, Richard Hill, Geoffrey Fox, Peter Mueller, Guojun Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1115-1121
Number of pages7
ISBN (Electronic)9781538637906
DOIs
Publication statusPublished - 25 May 2018
Externally publishedYes
Event15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 - Guangzhou, China
Duration: 12 Dec 201715 Dec 2017

Publication series

NameProceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017

Conference

Conference15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
Country/TerritoryChina
CityGuangzhou
Period12/12/1715/12/17

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT The work described in this paper was partially supported by Macao Science and Technology Development Fund under Grant No. 096/2013/A3, the National Key R&D Program of China under Grant 2016YFB0201900, the National Natural Science Foundation of China under Grant 61572538 and Grant 61672170, the Fundamental Research Funds for the Central Universities under Grant 17LGJC23, and the Science and Technology Planning Project of Guangdong Province (No. 2017A050501035). The authors would like to express their appreciation for Gordon K.-T. Hon for his thoughtful discussions.

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Mobile Networks
  • Quality of Experience-(QoE)
  • Quality of Service-(QoS)
  • Video Streaming

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