• DocumentCode
    3604536
  • Title

    On the \\alpha -Stable Distribution of Base Stations in Cellular Networks

  • Author

    Yifan Zhou ; Rongpeng Li ; Zhifeng Zhao ; Xuan Zhou ; Honggang Zhang

  • Author_Institution
    Coll. of Inf. Sci. & Electron. Eng., Zhejiang Univ., Hangzhou, China
  • Volume
    19
  • Issue
    10
  • fYear
    2015
  • Firstpage
    1750
  • Lastpage
    1753
  • Abstract
    Cellular networks are now nearly universally deployed and are under ever-growing pressure to increase the volume of data deliverable to consumers. Understanding how base stations (BSs) are spatially deployed could prominently facilitate the performance analyses of cellular networks, as well as the design of efficient networking protocols. In this letter, inspired by the clustering reality of BSs and the intrinsic heavy-tailed characteristics of human activities, we aim to re-examine the statistical pattern of BSs in cellular networks, and find the most appropriate spatial density distribution of BSs. Interestingly, by taking advantage of large amount of realistic deployment information of BSs from on-operating cellular networks, we find that the widely adopted Poisson distribution severely diverges from the practical density distribution of BSs. Instead, heavy-tailed distributions could more precisely match the practical distribution. In particular, α-stable distribution, the distribution also found in traffic pattern of broadband networks and cellular networks, is most consistent with the practical one.
  • Keywords
    Poisson distribution; broadband networks; cellular radio; protocols; telecommunication traffic; α-stable distribution; Poisson distribution; base stations; broadband networks; cellular networks; networking protocols; spatial density distribution; Base stations; Broadband communication; Cities and towns; Distribution functions; Graphical models; Probability density function; Stochastic processes; $alpha$-stable distribution; -stable distribution; Cellular networks; Poisson point process; base stations; heavy-tailed distributions; spatial density distribution;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2468718
  • Filename
    7202841