• DocumentCode
    3052869
  • Title

    Exact evaluation of outage probability in correlated lognormal shadowing environment

  • Author

    Ben Hcine, Marnane ; Bouallegue, Ridha

  • Author_Institution
    Innovation of Communicant & Cooperative Mobiles Lab., Univ. of Carthage, Ariana, Tunisia
  • fYear
    2015
  • fDate
    25-29 May 2015
  • Firstpage
    545
  • Lastpage
    552
  • Abstract
    Outage probability computation has been extensively studied in cellular radio systems where the interference is modeled by a sum of lognormal random variables. Since the sum of correlated lognormal random variables distribution does not have a closed-form expression, many approximation methods and bounds were proposed in the literature. However the accuracy of each method relies highly on the region of the resulting distribution being examined and the individual lognormal parameters, i.e, mean and variance. There is no such method which can provide the needed accuracy for all cases. This paper proposes a universal yet very simple approximation method for the sum of correlated lognormal random variables based on log skew normal approximation. Hence, the outage probability is accurately computed over the whole range of dB spreads for any correlation coefficient. We show that our method provides same results as Monte Carlo simulation for all cases.
  • Keywords
    Monte Carlo methods; approximation theory; cellular radio; log normal distribution; radiofrequency interference; Monte Carlo simulation; cellular radio systems; correlated lognormal shadowing; interference model; log skew normal approximation; lognormal random variables; outage probability; Conferences; Wireless communication; Correlated Lognormal Sum; Interference; Log Skew Normal; Outage Probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2015 13th International Symposium on
  • Conference_Location
    Mumbai
  • Type

    conf

  • DOI
    10.1109/WIOPT.2015.7151117
  • Filename
    7151117