Characterizing and predicting individual traffic usage of mobile application in cellular network

Jing Wu, Ming Zeng, Xinlei Chen, Yong Li*, Depeng Jin

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

12 引用 (Scopus)

摘要

The proliferation of smart devices prompts the explosive usage of mobile applications, which increases network traffic load. Characterizing the application level traffic patterns from an individual perspective is valuable for operators and content providers to make technical and business strategies. In this paper, we identify several typical traffic patterns and predict per-user traffic demand utilizing application usage dataset in cellular network. Our primary contributions are twofold: First, we novelly designed a three-stage model combining factor analysis and machine learning to extract the traffic patterns of individuals. By detecting the latent temporal structure of their application usage, users in the network are grouped into six typical patterns. Second, we implement a Wavelet-ARMA based model to forecast per-user application level traffic demand. The evaluation on real-world dataset indicates the model improves the prediction accuracy by 7 to 8 times compared with the benchmark solutions.

源语言英语
主期刊名UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
出版商Association for Computing Machinery, Inc
852-861
页数10
ISBN(电子版)9781450359665
DOI
出版状态已出版 - 8 10月 2018
已对外发布
活动2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, 新加坡
期限: 8 10月 201812 10月 2018

出版系列

姓名UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

会议

会议2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
国家/地区新加坡
Singapore
时期8/10/1812/10/18

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