• DocumentCode
    1706327
  • Title

    Modelling the Relative MIMO Gain

  • Author

    Kuipers, B. W M Martijn ; Correia, Luís M.

  • Author_Institution
    Inst. Super. Tecnico/Inst. de Telecomun., Tech. Univ. of Lisbon, Lisbon
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The relative MIMO gain (RMG) is introduced as the ratio of the multiple input/multiple output capacity of a radio channel over its single input/single output one. In this paper, a statistical model is developed to approximate the distribution of the RMG, so that it can easily be incorporated into system-level simulators. A set of scenarios has been defined with different antenna configurations, for distances between 10 and 2400 m. The different antenna configurations range between 2 and 16 transmit and/or receive elements. The distribution of the RMG, presented here, is extracted from simulation results. The distribution of the RMG is modelled by an inverse Sigmoid function, which is determined by its mean value and standard deviation. The obtained model is assessed by simulation results, which shows a good fit for most of the cases. The model has a relative mean error of less than 6%, and a relative mean square error of less than 7.5%, for all antenna configurations and distances, compared to the simulation results.
  • Keywords
    MIMO communication; channel capacity; mean square error methods; radiowave propagation; statistical analysis; wireless channels; antenna configurations; distance 10 m; distance 2400 m; inverse Sigmoid function; multiple input-multiple output capacity; radio channel; relative MIMO gain modelling; relative mean square error; single input-single output; standard deviation; statistical model; Antenna arrays; Antennas and propagation; Channel capacity; MIMO; Predictive models; Radio link; Radio network; Receiving antennas; Telecommunications; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium on
  • Conference_Location
    Cannes
  • Print_ISBN
    978-1-4244-2643-0
  • Electronic_ISBN
    978-1-4244-2644-7
  • Type

    conf

  • DOI
    10.1109/PIMRC.2008.4699433
  • Filename
    4699433