Web-Browsing QoE Estimation Model

Toshiko TOMINAGA  Kanako SATO  Noriko YOSHIMURA  Masataka MASUDA  Hitoshi AOKI  Takanori HAYASHI  

Publication
IEICE TRANSACTIONS on Communications   Vol.E100-B   No.10   pp.1837-1845
Publication Date: 2017/10/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Network
Keyword: 
QoE,  waiting time,  web page,  web browsing,  subjective quality assessment test,  estimation model,  

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Summary: 
Web browsing services are expanding as smartphones are becoming increasingly popular worldwide. To provide customers with appropriate quality of web-browsing services, quality design and in-service quality management on the basis of quality of experience (QoE) is important. We propose a web-browsing QoE estimation model. The most important QoE factor for web-browsing is the waiting time for a web page to load. Next, the variation in the communication quality based on a mobile network should be considered. We developed a subjective quality assessment test to clarify QoE characteristics in terms of waiting time using 20 different types of web pages and constructed a web-page QoE estimation model. We then conducted a subjective quality assessment test of web-browsing to clarify the relationship between web-page QoE and web-browsing QoE for three web sites. We obtained the following two QoE characteristics. First, the main factor influencing web-browsing QoE is the average web-page QoE. Second, when web-page QoE variation occurs, a decrease in web-page QoE with a huge amplitude causes the web-browsing QoE to decrease. We used these characteristics in constructing our web-browsing QoE estimation model. The verification test results using non-training data indicate the accuracy of the model. We also show that our findings are applicable to web-browsing quality design and solving management issues on the basis of QoE.