• DocumentCode
    2381247
  • Title

    Impact of a Line of Sight Component on the Performance of a MIMO System Designed under Statistical Channel Knowledge

  • Author

    Pascual-Iserte, Antonio ; Payaro, Miquel ; Rez-Neira, Ana I Pe ; Lagunas, Miguel Angel

  • Author_Institution
    Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona
  • fYear
    2006
  • fDate
    2-5 July 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper deals with the problem of the design of a multi-antenna system assuming that only a statistical channel knowledge is available at the transmitter. More precisely, in the proposed design it is considered that an optimum maximum likelihood detector is employed at the receiver side and that the channel has a line of sight component. The design is obtained to minimize the worst pairwise error probability, which is averaged over the channel statistics. The benefits of exploiting this statistical channel knowledge are compared with a system requiring no channel state information at the transmitter. Finally, the asymptotic gain at high transmit power thanks to the line of sight component is found in closed-form
  • Keywords
    MIMO communication; antenna arrays; error statistics; maximum likelihood detection; receiving antennas; transmitting antennas; wireless channels; MIMO system; line of sight component; multi-antenna system; optimum maximum likelihood detector; pairwise error probability; statistical channel knowledge; Bayesian methods; Closed-form solution; MIMO; Maximum likelihood detection; Maximum likelihood estimation; Power system modeling; Receiving antennas; Signal to noise ratio; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications, 2006. SPAWC '06. IEEE 7th Workshop on
  • Conference_Location
    Cannes
  • Print_ISBN
    0-7803-9710-X
  • Electronic_ISBN
    0-7803-9711-8
  • Type

    conf

  • DOI
    10.1109/SPAWC.2006.346348
  • Filename
    4153892