• DocumentCode
    1525465
  • Title

    Coverage and Economy of Cellular Networks with Many Base Stations

  • Author

    Lee, Seunghyun ; Huang, Kaibin

  • Author_Institution
    Yonsei Univ., Seoul, South Korea
  • Volume
    16
  • Issue
    7
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1038
  • Lastpage
    1040
  • Abstract
    The performance of a cellular network can be significantly improved by employing many base stations (BSs), which shortens transmission distances. However, there exist no known results on quantifying the performance gains from deploying many BSs. To address this issue, we adopt a stochastic-geometry model of the downlink cellular network and analyze the mobile outage probability. Specifically, given Poisson distributed BSs, the outage probability is shown to diminish inversely with the increasing ratio between the BS and mobile densities. Furthermore, we analyze the optimal tradeoff between the performance gain from increasing the BS density and the resultant network cost accounting for energy consumption, BS hardware and backhaul cables. The optimal BS density is proved to be proportional to the square root of the mobile density and the inverse of the square root of the cost factors considered.
  • Keywords
    cellular radio; geometry; probability; stochastic processes; BS density; BS hardware; Poisson distributed BS; backhaul cables; base stations; cellular network coverage; cellular network economy; cost factors; downlink cellular network; energy consumption; mobile outage probability; optimal BS density; stochastic-geometry model; transmission distances; Approximation methods; Base stations; Hardware; Mobile communication; Mobile computing; Performance gain; Switches; Cellular networks; base stations; cost function; mobile communications; stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.042512.120426
  • Filename
    6205422