文献类型：期刊文献

英文题名：A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing

作者：Li, Ke[1];Wang, Hai[1];Xu, Xiaolong[1];Du, Yu[2];Liu, Yuansheng[2];Ahmad, M. Omair[3]

通讯作者：Li, K[1]

机构：[1]Beijing Union Univ, Coll Smart City, Beijing 100101, Peoples R China;[2]Beijing Union Univ, Coll Robot, Beijing 100101, Peoples R China;[3]Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada

第一机构：北京联合大学

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Smart City, Beijing 100101, Peoples R China.|[11417]北京联合大学;

年份：2018

卷号：18

期号：5

外文期刊名：SENSORS

收录：;EI(收录号：20182105218340);Scopus(收录号：2-s2.0-85047076006);WOS:【SCI-EXPANDED(收录号:WOS:000435580300265)】；

基金：This work is partially supported by the Key Laboratory of Universal Wireless Communications (Beijing University of Posts and Telecommunications) of the Ministry of Education, China, under Grant No. KFKT-2016101, the National Natural Science Foundation of China under Grant No. 61372088, the Newton Fund Project supported by Royal Academy of Engineering of UK under Grant No. UK-CIAPP\324, the Academic Human Resources Development in Beijing Union University under Grant No. BPHR2017EZ02, and the national key research and development plan of China under Grant No. 17-H863-01-ZT-005-008-04.

语种：英文

外文关键词：service perception; mobile crowdsensing; network measurement; over-the-top service

摘要：Service perception analysis is crucial for understanding both user experiences and network quality as well as for maintaining and optimizing of mobile networks. Given the rapid development of mobile Internet and over-the-top (OTT) services, the conventional network-centric mode of network operation and maintenance is no longer effective. Therefore, developing an approach to evaluate and optimizing users' service perceptions has become increasingly important. Meanwhile, the development of a new sensing paradigm, mobile crowdsensing (MCS), makes it possible to evaluate and analyze the user's OTT service perception from end-user's point of view other than from the network side. In this paper, the key factors that impact users' end-to-end OTT web browsing service perception are analyzed by monitoring crowdsourced user perceptions. The intrinsic relationships among the key factors and the interactions between key quality indicators (KQI) are evaluated from several perspectives. Moreover, an analytical framework of perceptional degradation and a detailed algorithm are proposed whose goal is to identify the major factors that impact the perceptional degradation of web browsing service as well as their significance of contribution. Finally, a case study is presented to show the effectiveness of the proposed method using a dataset crowdsensed from a large number of smartphone users in a real mobile network. The proposed analytical framework forms a valuable solution for mobile network maintenance and optimization and can help improve web browsing service perception and network quality.