• DocumentCode
    3433384
  • Title

    Average SIR estimation in cellular networks with best server policy

  • Author

    Minelli, Mattia ; Coupechoux, Marceau ; Kelif, Jean-Marc

  • Author_Institution
    CNRS LTCI, Telecom ParisTech, Paris, France
  • fYear
    2010
  • fDate
    20-22 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The evaluation of the Signal to Interference Ratio (SIR) in cellular networks is of primary importance for network dimensioning. For static studies, which evaluate cell capacity and coverage, as well as for dynamic studies, which consider arrivals and departures of mobile stations (MS), the SIR is always an important input. Contrary to most of the analytical works evaluating SIR, we assume in this paper that the MS is attached to the best server, i.e., to the base station (BS) from which it receives the highest power. This is a policy that is more realistic than the classical assumption that considers MSs to be attached to the nearest BS. The exact formulation of the SIR is however in this case uneasy to handle and numerical methods remain heavy. In this paper, we thus propose an approximate analytical study based on truncated lognormal distributions that provides very close results to Monte Carlo simulations.
  • Keywords
    Monte Carlo methods; cellular radio; log normal distribution; mobile communication; Monte Carlo simulation; average SIR estimation; cellular networks; mobile stations; signal to interference ratio; truncated lognormal distributions; Approximation methods; Interference; Land mobile radio cellular systems; Monte Carlo methods; Servers; Shadow mapping; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Days (WD), 2010 IFIP
  • Conference_Location
    Venice
  • ISSN
    2156-9711
  • Print_ISBN
    978-1-4244-9230-5
  • Electronic_ISBN
    2156-9711
  • Type

    conf

  • DOI
    10.1109/WD.2010.5657745
  • Filename
    5657745