@inproceedings{b02ebaeeeac844459f7a8bbc2de94af2,
title = "Cellular smartphone traffic and user behavior analysis",
abstract = "Recent emergence of smartphone applications have led to explosive traffic growth in cellular networks. Understanding the traffic characteristics and user behaviors in cellular data networks becomes critical in the rapidly evolving market. Statistics show that Android and iOS are two leading smartphone operating systems and Windows Phone operating system is catching up fast in the global smartphone market share. This paper characterizes mobile Internet traffic generated by Android, iOS, and Windows Phone platforms devices. We also explore and compare user behaviors of these three platforms from two aspects: traffic dynamics and user applications. This study was conducted based on the traffic data collected from a major cellular operator's network covering more than two million users. The platform of a mobile device is identified based on HTTP signatures. Our analysis of this big data set is crucial for improving user experience and future smartphone application design.",
author = "Yinzhou Li and Jie Yang and Nirwan Ansari",
year = "2014",
doi = "10.1109/ICC.2014.6883505",
language = "English (US)",
isbn = "9781479920037",
series = "2014 IEEE International Conference on Communications, ICC 2014",
publisher = "IEEE Computer Society",
pages = "1326--1331",
booktitle = "2014 IEEE International Conference on Communications, ICC 2014",
address = "United States",
note = "2014 1st IEEE International Conference on Communications, ICC 2014 ; Conference date: 10-06-2014 Through 14-06-2014",
}