• DocumentCode
    2132516
  • Title

    Optimal pilot pattern design for dynamic spectrum access MIMO multicarrier systems

  • Author

    Golovins, Eugene ; Ventura, Neco

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Cape Town, Cape Town, South Africa
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    2030
  • Lastpage
    2034
  • Abstract
    One of the serious challenges, which hamper application of multiple-input multiple-output (MIMO) multicarrier (MC) transmission systems in the cognitive radio (CR) environments, is the synthesis of reliable pilot signals, which can be used for the CR channel sounding. This paper addresses design of the optimal pilot pattern for MIMO-MC CRs. The principal novelty of this work in contrast to the previous ones is that the proposed solution is optimal from both performance and receiver complexity standpoint. To be more specific, we consider pilot sequence precoding, which leads to the best channel estimation accuracy, ensured by the optimal pilot power distribution and joint estimation of the second-order channel response statistics.
  • Keywords
    MIMO systems; channel estimation; cognitive radio; statistical analysis; CR channel sounding; MIMO multicarrier systems; channel estimation accuracy; cognitive radio; dynamic spectrum access; joint estimation; multiple-input multiple-output multicarrier transmission systems; optimal pilot pattern design; optimal pilot power distribution; pilot sequence precoding; receiver complexity standpoint; second-order channel response statistics; Availability; Chromium; Cognitive radio; MIMO; Partial transmit sequences; Power distribution; Power system modeling; Receiving antennas; Signal design; Transmitting antennas; MIMO; channel estimation; multicarrier; pilot pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-5122-7
  • Electronic_ISBN
    978-1-4244-5123-4
  • Type

    conf

  • DOI
    10.1109/PIMRC.2009.5450048
  • Filename
    5450048