• DocumentCode
    1811729
  • Title

    Blocking rates in large CDMA networks via a spatial Erlang formula

  • Author

    Baccelli, François ; Blaszczyszyn, Bartlomiej ; Karray, Mohamed Kadhem

  • Author_Institution
    Ecole Normale Superieure, Paris, France
  • Volume
    1
  • fYear
    2005
  • fDate
    13-17 March 2005
  • Firstpage
    58
  • Abstract
    This paper builds upon the scalable admission control schemes for CDMA networks developed in F. Baccalli et al. (2003, December 2004). These schemes are based on an exact representation of the geometry of both the downlink and the uplink channels and ensure that the associated power allocation problems have solutions under constraints on the maximal power of each station/user. These schemes are decentralized in that they can be implemented in such a way that each base station only has to consider the load brought by its own users to decide on admission. By load we mean here some function of the configuration of the users and of their bit rates that is described in the paper. When implemented in each base station, such schemes ensure the global feasibility of the power allocation even in a very large (infinite number of cells) network. The estimation of the capacity of large CDMA networks controlled by such schemes was made in these references. In certain cases, for example for a Poisson pattern of mobiles in an hexagonal network of base stations, this approach gives explicit formulas for the infeasibility probability, defined as the fraction of cells where the population of users cannot be entirely admitted by the base station. In the present paper we show that the notion of infeasibility probability is closely related to the notion of blocking probability, defined as the fraction of users that are rejected by the admission control policy in the long run, a notion of central practical importance within this setting. The relation between these two notions is not bound to our particular admission control schemes, but is of more general nature, and in a simplified scenario it can be identified with the well-known Erlang loss formula. We prove this relation using a general spatial birth-and-death process, where customer locations are represented by a spatial point process that evolves over time as users arrive or depart. This allows our model to include the exact representation of the geometry of inter-cell and intra-cell interferences, which play an essential role in the load indicators used in these cellular network admission control schemes.
  • Keywords
    cellular radio; code division multiple access; probability; radio links; radiofrequency interference; stochastic processes; telecommunication channels; telecommunication congestion control; CDMA networks; Erlang loss formula; Poisson pattern; base station; blocking probability; blocking rates; cellular network admission control schemes; downlink channels; hexagonal network; infeasibility probability; intercell interferences; intracell interferences; power allocation; spatial Erlang formula; spatial birth-and-death process; uplink channels; Admission control; Base stations; Bit rate; Downlink; Geometry; Intelligent networks; Multiaccess communication; Probability; Research and development; Steady-state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE
  • ISSN
    0743-166X
  • Print_ISBN
    0-7803-8968-9
  • Type

    conf

  • DOI
    10.1109/INFCOM.2005.1497879
  • Filename
    1497879