• DocumentCode
    445211
  • Title

    Site-specific indoor MIMO capacity using adaptive techniques

  • Author

    Elnaggar, Michel S. ; Safavi-Naeini, S. ; Chaudhuri, Sujeet K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
  • Volume
    3B
  • fYear
    2005
  • fDate
    3-8 July 2005
  • Firstpage
    426
  • Abstract
    The paper investigates, for site-specific indoor scenarios, the attainable improvement of the MIMO capacity by using one or more radio frequency (RF) adaptive techniques. For a scenario-specific (4,4) MIMO system in a corridor, we predict the channel matrix between the transmit and receive ports through image ray tracing (IRT) simulations. We show results for different orientations of transmit/receive arrays and for various positions of the receive array. We demonstrate the dependence of the predicted MIMO capacity on the site-specific scenario over a range of receive end locations. In various specific situations, adaptive techniques can enhance capacity only to a certain extent depending on the original channel matrix. The normalized singular values demonstrate that the capacity enhancement is due to better use of the eigen channels. Combining more than one adaptive technique does not provide further capacity improvement.
  • Keywords
    MIMO systems; UHF radio propagation; antenna arrays; channel capacity; eigenvalues and eigenfunctions; indoor radio; matrix algebra; ray tracing; receiving antennas; transmitting antennas; 2.4 GHz; channel matrix; corridor; eigen channels; image ray tracing; normalized singular values; radio frequency adaptive techniques; receive arrays; site-specific indoor MIMO capacity; transmit arrays; Dielectric constant; Dielectric losses; Linear antenna arrays; MIMO; Modems; Phased arrays; Polarization; Radio frequency; System performance; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation Society International Symposium, 2005 IEEE
  • Print_ISBN
    0-7803-8883-6
  • Type

    conf

  • DOI
    10.1109/APS.2005.1552534
  • Filename
    1552534