ABSTRACT
The tremendous growth in video services, specially in the context of mobile usage, creates new challenges for network service providers: How to enhance the user's Quality of Experience (QoE) in dynamic wireless networks (UMTS, HSPA, LTE/LTE-A). The network operators use different methods to predict the user's QoE. Generally to predict the user's QoE, methods are based on collecting subjective QoE scores given by users. Basically, these approaches need a large dataset to predict a good perceived quality of the service. In this paper, we setup an experimental test based on crowdsourcing approach and we build a large dataset in order to predict the user's QoE in mobile environment in term of Mean Opinion Score (MOS). The main objective of this study is to measure the individual/global impact of QoE Influence Factors (QoE IFs) in a real environment. Based on the collective dataset, we perform 5 testing scenarios to compare 2 estimation methods (SVM and ANFIS) to study the impact of the number of the considered parameters on the estimation. It became clear that using more parameters without any weighing mechanisms can produce bad results.
- L. Amour, S. Souihi, S. Hoceini, and A. Mellouk. A hierarchical classification model of qoe influence factors. 13th International Conference on Wired and Wireless Internet Communications, May 25--27, 2015.Google ScholarCross Ref
- H. F.E. and C. Dupont. Package 'hmisc'. available at:. http://cran.r-project.org/web/packages/Hmisc/Hmisc.pdf", April, 2015.Google Scholar
- I. for Statistics and M. of WU. R software. http://www.r-project.org/.Google Scholar
- G. Gomez, L. Hortiguela, Q. Perez, J. Lorca, R. Garcia, and M. C. A. Torres. Youtube qoe evaluation tool for android wireless terminals. CoRR journal, 1405--4709, 02 Jun, 2014.Google Scholar
- S. Gupta, R. Kambli, S. Wagh, and F. Kazi. Support-vector-machine-based proactive cascade prediction in smart grid using probabilistic framework. Industrial Electronics, IEEE Transactions on, 62(4):2478--2486, April 2015.Google Scholar
- T. Hofeld, F. Liers, R. Schatz, B. Staehle, D. Staehle, T. Volkert, and F. Wamser. Quality of Experience Management for YouTube: Clouds, FoG and the AquareYoum, volume 35. 2012.Google Scholar
- ITU-T. Report 2007. definition of quality of experience (qoe). International Telecommunication Union, Liaison Statement, January 2007.Google Scholar
- A. Khan, L. Sun, and E. Ifeachor. Content-based video quality prediction for mpeg4 video streaming over wireless networks. Journal of Multimedia, 4(4), 2009.Google ScholarCross Ref
- Menkovski, V., Exarchakos, G., Liotta, A., and A. Sanchez. Measuring quality of experience on a commercial mobile tv platform. In Advances in Multimedia (MMEDIA), 2010 Second International Conferences on, June 2010. Google ScholarDigital Library
- H.-I. C. Murat Copcu. The quality of contextual experience of multimedia on the smartphone. International Journal of Emerging Science and Engineering (IJESE), Volume-3 Issue-3:30--33, January 2015.Google Scholar
- L. S. Riza, C. Bergmeir, F. Herrera, and J. M. Benitez. Learning from data using the r package" frbs". Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on, pages 2149--2155, 2014.Google ScholarCross Ref
- H. T., S. M., M. Hirth, T. Zinner, P. Tran-Gia, and R. Schatz. Quantification of youtube qoe via crowdsourcing. In Multimedia (ISM), 2011 IEEE International Symposium on, pages 494--499, Dec 2011. Google ScholarDigital Library
Index Terms
- Building a Large Dataset for Model-based QoE Prediction in the Mobile Environment
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