Abstract
In this paper, we presented a logistic regression model that we applied for assessment of the users’ quality of experience with web browsing service over mobile network. With this regard, we chose the Average-Time-to-Connect-TCP network service quality parameter as an independent predictor, obtained by passive monitoring of live traffic data, captured by a passive probe on the mobile network Gn interface, and related to detailed records of the Transport Control Protocol. In parallel with in-service measuring the selected network parameter, we conducted simultaneous subjective tests of the quality of experience acceptability to users, specifically for web browsing service. Particularly, it was found that the model provided correct acceptability classification in 84.5% of cases, while reducing the chosen independent predictor for 100 ms implied increasing the chance of the service acceptability by factor of 1.65. Based on the obtained results, it comes out that the applied logistic regression model provides satisfactory estimation of the web browsing service quality experience acceptability.
Highlights
Web browsing is among dominant cellular network applications and is expected to grow by 39% annually over the coming 6 years [1]
The likelihood ratio (LR) test is used to judge the null hypothesis that including the Average-Time-to-Connect-Transmission Control Protocol (TCP) random variable into the model does not significantly increase the ability to predict the decisions made by the subjects
It can be seen that, for the Chi-square model with 1 degree of freedom and the value of 35.817, it comes out that p < 0.00001, and we justifiably reject the null hypothesis. The results of this test indicate that including Average-Time-toConnect-TCP random variable into the model statistically significantly increases the ability to predict the acceptability of the service to the users
Summary
Web browsing is among dominant cellular network applications and is expected to grow by 39% annually over the coming 6 years [1]. Growing users’ demand for reliable data delivery comes along with their expectation for adequate Quality-of-Experience (QoE), too, making the latter the most important user decision criterion in selecting a specific service provider. As network operators are mostly interested in testing users’ acceptability of provided web services [5,6,7], i.e., the “binary measure to locate the threshold of minimum acceptable quality that fulfills user quality expectations and needs for certain application or system” [7], in recent years, a number of QoE models based on acceptability have been proposed, especially for video signal delivery [8,9,10], as well as for interactive data services [11]
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