Characterizing data usage patterns in a large cellular network

Yu Jin, Nick Duffield, Alexandre Gerber, Patrick Haffner, Wen Ling Hsu, Guy Jacobson, Subhabrata Sen, Shobha Venkataraman, Zhi-Li Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Scopus citations

Abstract

Using heterogeneous data sources collected from one of the largest 3G cellular networks in the US over three months, in this paper we investigate the usage patterns of mobile data users. We observe that data usage across mobile users are highly uneven. Most of the users access data services occasionally, while a small number of heavy users contribute to a majority of data usage in the network. We apply statistical tools, such as Markov model and tri-nonnegative matrix factorization, to characterize data users. We find that the intensive usage from heavy users can be attributed to a small number of applications, mostly video/audio streaming, data-intensive mobile apps, and popular social media sites. Our analysis provides a fine-grained categorization of data users based on their usage patterns and sheds light on the potential impact of different users on the cellular data network.

Original languageEnglish (US)
Title of host publicationCellNet'12 - Proceedings of the ACM Workshop on Cellular Networks
Subtitle of host publicationOperations, Challenges, and Future Design
Pages7-12
Number of pages6
DOIs
StatePublished - Sep 26 2012
Event2012 ACM SIGCOMM Workshop on Cellular Networks: Operations, Challenges, and Future Design, CellNet 2012 - Helsinki, Finland
Duration: Aug 13 2012Aug 13 2012

Publication series

NameCellNet'12 - Proceedings of the ACM Workshop on Cellular Networks: Operations, Challenges, and Future Design

Other

Other2012 ACM SIGCOMM Workshop on Cellular Networks: Operations, Challenges, and Future Design, CellNet 2012
CountryFinland
CityHelsinki
Period8/13/128/13/12

Keywords

  • cellular networks
  • heavy users
  • usage characterization

Fingerprint Dive into the research topics of 'Characterizing data usage patterns in a large cellular network'. Together they form a unique fingerprint.

Cite this