• DocumentCode
    2292729
  • Title

    Modelling broadband 2×2 MIMO channels in indoor-outdoor scenarios

  • Author

    Fernández, O. ; Domingo, M. ; Torres, R.P.

  • Author_Institution
    Dept. de Ing. de Comun., Univ. de Cantabria, Santander
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A stochastic 2times2 MIMO wideband channel modelling method is presented. This channel model uses tapped delay lines (TDL) to model the subchannels and a single channel spatial correlation matrix to introduce the statistical dependence. This model represents a novel simplification with respect to other wideband MIMO models. The channel models obtained from this method are accurate and computationally efficient. Using this method and previous channel measurements carried out by the authors, channel models of outdoor-indoor scenarios are obtained. These models will be very useful in the context of future and present broadband fixed wireless systems (BFWS) based on the use of multiple antennas on the transmitter and the receiver side (MIMO). The results show that the simulated channels provides channel capacity results similar to the measured ones.
  • Keywords
    MIMO communication; broadband antennas; channel capacity; correlation methods; matrix algebra; statistical analysis; wireless channels; broadband MIMO channel modelling; broadband fixed wireless systems; channel capacity; indoor-outdoor scenarios; multiple antennas; spatial correlation matrix; statistical dependence; tapped delay lines; wideband MIMO models; Antenna measurements; Broadband antennas; Context modeling; Delay lines; MIMO; Receiving antennas; Stochastic processes; Transmitters; Transmitting antennas; Wideband; BFWA; Capacity; Channel Modeling; Correlation Matrix; MIMO; TDL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Multimedia Systems and Broadcasting, 2009. BMSB '09. IEEE International Symposium on
  • Conference_Location
    Bilbao
  • Print_ISBN
    978-1-4244-2590-7
  • Electronic_ISBN
    978-1-4244-2591-4
  • Type

    conf

  • DOI
    10.1109/ISBMSB.2009.5133765
  • Filename
    5133765