• DocumentCode
    125097
  • Title

    Understanding data hotspots in cellular networks

  • Author

    Nika, Ana ; Ismail, A. ; Zhao, Ben Y. ; Gaito, Sabrina ; Rossi, Gian Paolo ; Haitao Zheng

  • Author_Institution
    Univ. of California, Santa Barbara, Santa Barbara, CA, USA
  • fYear
    2014
  • fDate
    18-20 Aug. 2014
  • Firstpage
    70
  • Lastpage
    76
  • Abstract
    The unprecedented growth in mobile data usage is posing significant challenges to cellular operators. One key challenge is how to provide quality of service to subscribers when their residing cell is experiencing a significant amount of traffic, i.e. becoming a traffic hotspot. In this paper, we perform an empirical study on data hotspots in today´s cellular networks using a 9-week cellular dataset with 734K+ users and 5327 cell sites. Our analysis examines in details static and dynamic characteristics, predictability, and causes of data hotspots, and their correlation with call hotspots. We believe the understanding of these key issues will lead to more efficient and responsive resource management and thus better QoS provision in cellular networks. To the best of our knowledge, our work is the first to characterize in detail traffic hotspots in today´s cellular networks using real data.
  • Keywords
    cellular radio; quality of service; telecommunication network management; telecommunication traffic; QoS provision; cellular dataset; cellular networks; cellular operators; data hotspots; mobile data usage; quality of service; responsive resource management; traffic hotspot; Cities and towns; Correlation; Distributed databases; Distribution functions; Graphical models; Internet; Quality of service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine), 2014 10th International Conference on
  • Conference_Location
    Rhodes
  • Type

    conf

  • DOI
    10.1109/QSHINE.2014.6928662
  • Filename
    6928662