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A Crowdsensing Based Analytical Framework for Perceptional Degradation of OTT Web Browsing
Ke Li1, Hai Wang2, Xiaolong Xu3
1College of Smart City, Beijing Union University, Beijing 100101, China. like@buu.edu.cn.
Sensors (Basel, Switzerland)
|May 16, 2018
Summary
Analyzing mobile network quality requires understanding user experience. Mobile crowdsensing (MCS) helps evaluate over-the-top (OTT) service perception, identifying key factors impacting web browsing quality for network optimization.
Area of Science:
- Mobile network engineering
- Human-computer interaction
- Data science
Background:
- Traditional network-centric approaches are insufficient for modern mobile internet and over-the-top (OTT) services.
- Understanding user service perception is vital for mobile network maintenance and optimization.
- Mobile crowdsensing (MCS) offers a novel paradigm for end-user perspective analysis.
Purpose of the Study:
- To analyze key factors influencing end-to-end OTT web browsing service perception.
- To evaluate intrinsic relationships among factors and interactions between Key Quality Indicators (KQI).
- To develop an analytical framework and algorithm for identifying perceptional degradation drivers.
Main Methods:
- Monitoring crowdsourced user perceptions of OTT web browsing services.
- Analyzing intrinsic relationships and KQI interactions.
- Proposing an analytical framework and algorithm for perceptional degradation analysis.
Main Results:
- Identified key factors impacting user perception of OTT web browsing services.
- Evaluated relationships between factors and KQI interactions.
- Developed and validated an analytical framework and algorithm using real-world mobile network data.
Conclusions:
- The proposed framework effectively identifies major factors contributing to web browsing service perception degradation.
- This approach provides a valuable solution for mobile network optimization and enhancing user experience.
- Crowdsourced data analysis is effective for understanding and improving mobile network quality from the user's perspective.
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