• DocumentCode
    6190
  • Title

    On the Probability of Non-Shared Multipath Clusters in Cellular Networks

  • Author

    Dahman, Ghassan ; Rusek, Fredrik ; Meifang Zhu ; Tufvesson, Fredrik

  • Author_Institution
    Dept. of Electr. & Inf. Technol., Lund Univ., Lund, Sweden
  • Volume
    4
  • Issue
    2
  • fYear
    2015
  • fDate
    Apr-15
  • Firstpage
    161
  • Lastpage
    164
  • Abstract
    In Space Division Multiple Access (SDMA) systems, users are separated based on their positions. The base-station (BS) signals typically reach the users through multipath clusters. The goal of this work is to find the probability that a randomly selected user will receive the signal from the BS via at least one non-shared (by any other user) multipath cluster. This probability, referred to as PSuccess, provides (under some conditions) the limit of the probability that the BS is able to communicate successfully with a randomly selected user using SDMA without causing significant interference to other users. To find PSuccess, we first derive a model describing the probability distribution function (pdf) of the non-overlapping area of a set of circles, that have the same radius and are spatially distributed according to a Poisson distribution. Then, the proposed model for this pdf is used to express PSuccess as a function of the user´s intensity and the clusters´ intensity. Simulations, using the COST 2100 model, for outdoor and indoor scenarios, are used to validate the derived expression for PSuccess with a very good agreement, where the maximum error was 0.04.
  • Keywords
    Poisson distribution; cellular radio; multipath channels; pattern clustering; space division multiple access; BS signals; COST 2100 model; Poisson distribution; SDMA systems; base-station signals; cellular networks; cluster intensity; indoor scenarios; nonshared multipath clusters; outdoor scenarios; probability distribution function; space division multiple access systems; user intensity; Channel models; Interference; Mathematical model; Multiaccess communication; Probability; Probability density function; Shape; Spatial Poisson process; Spatial poisson process; directional-based multiplexing; multipath clusters; visibility region;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    2162-2337
  • Type

    jour

  • DOI
    10.1109/LWC.2015.2388531
  • Filename
    7003991