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.

在本文中，我们提出了一个逻辑回归模型，该模型用于评估用户在移动网络上使用Web浏览服务的体验质量。考虑到这一点，我们选择了平均连接时间TCP网络服务质量参数作为独立的预测变量，该参数是通过对实时流量数据进行被动监视获得的，并由移动网络Gn接口上的被动探测器捕获，并且与详细传输控制协议的记录。在运行中测量选定的网络参数的同时，我们针对用户的体验可接受性进行了主观测试，特别是针对Web浏览服务。特别是，发现该模型在84.5％的案例中提供了正确的可接受性分类，而将所选独立预测变量减少100 ms意味着服务可接受性的机会增加了1.65倍。根据获得的结果，得出的结果是，所应用的逻辑回归模型为Web浏览服务质量体验的可接受性提供了令人满意的估计。