Investigation of Multi-dimensional QoE Models with the Impact of Resolution Vs Stalls for Video Streaming

In the revolutionary world of Telecommunications industry, costumer’s satisfaction with the product plays a pivotal role. The QoE is affected by the quality of service of a network provided by the service providers. Generic relationship between Quality of Experience and Quality of Service aids to the evolution of smarter ways of regulating the network performance. Accordingly, several studies have engrossed on classifying the relationships between QoE and QoS, seldom noticing the exponential and logarithmic relationships. Correspondingly, investigating the influence of diverse parameters such as stalls, delays, losses on QoE and analyzing whether the additive model or multiplicative model fits the best. In this work, the aim is to investigate the relationships between multi-dimensional QoE space and multi-dimensional QoS parameters. In order to build the subtlety in the sector of multi-dimensional QoE models for multi factor QoS parameters, this study has been conducted.Since the demand for high quality videos is rising tremendously, it has been a necessity for the service and network providers to ensure the best service. In this study a statistical analysis was performed based on quality assessment method. The videos were streamed using the VLC Player and the user’s reactions were logged. A questionnaire was prepared with questions regarding quality and disturbances observed Figure 14. A total of 15 users participated in the study. The data collected in the study was analyzed using averages, correlations and regression analysis. Comparisons were made between the additive modelling approach and multiplicative modelling approach by linear regression. In conclusion, proposing that the multiplicative model is the best fit for resolutions vs stalls w.r.t mean opinion score (MOS)