• DocumentCode
    113217
  • Title

    Maximizing the Coverage-Intensity Product in random cellular networks

  • Author

    Samarasinghe, Tharaka ; Inaltekin, Hazer ; Evans, Jamie S.

  • Author_Institution
    Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, VIC, Australia
  • fYear
    2014
  • fDate
    3-5 Feb. 2014
  • Firstpage
    73
  • Lastpage
    78
  • Abstract
    This paper studies a cellular network in which base station (BS) locations are modeled using a homogenous spatial Poisson point process, and user locations are modeled using an arbitrary stationary homogenous point process. The objective is to maximize the Coverage-Intensity Product (CIP), which represents the average number of users covered per unit area, under constraints on transmit power, BS intensity and transmit power density (per unit area). Expressions for the CIP are obtained considering two user coverage models that differ from each other depending on the BS-user association. Using these expressions, solutions for the optimization problem are provided. All these results are presented for general bounded path loss models that satisfy some mild conditions. The results are also illustrated using a specific bounded path loss model to provide further insights.
  • Keywords
    cellular radio; geometry; optimisation; stochastic processes; BS intensity; BS-user association; CIP; arbitrary stationary homogenous point process; base station locations; coverage-intensity product maximization; general bounded path loss models; homogenous spatial Poisson point process; optimization problem; random cellular networks; stochastic geometry; transmit power density; user coverage models; user locations; Density measurement; Interference; Modeling; Nickel; Optimization; Power system measurements; Signal to noise ratio; Cellular networks; Poisson point process; coverage-intensity product; optimization; stochastic geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications Theory Workshop (AusCTW), 2014 Australian
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/AusCTW.2014.6766431
  • Filename
    6766431