• DocumentCode
    561082
  • Title

    Optimal pilot patterns considering optimal power loading for Cognitive Radios in the two dimensional scenario

  • Author

    Soubachov, Boyan ; Ventura, Neco

  • Author_Institution
    Univ. of Cape Town, Cape Town, South Africa
  • fYear
    2011
  • fDate
    12-14 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In Orthogonal Frequency Division Multiple Access (OFDMA) based Cognitive Radio (CR) systems, optimal power loading schemes are devised such that the transmission rate is maximized while maintaining interference from Secondary Users (SUs) to Primary Users (PUs) below a specified threshold. The power loading algorithms however do not distinguish between data and pilot symbols. A similar situation exists for optimal pilot patterns where pilots are placed in the optimal positions to achieve the lowest Mean Squared Error (MSE) but no consideration is given to power loading schemes. This paper investigates this scenario and proposes an optimal solution based on the Least Squares (LS) estimator which could be applied to future CR algorithm implementations as well as a possible standardization aspect to ensure an optimal solution to a crucial problem in practical implementations.
  • Keywords
    OFDM modulation; cognitive radio; frequency division multiple access; least squares approximations; mean square error methods; optimisation; LS estimator; MSE; OFDMA; PU; SU; cognitive radios; least square estimator; mean squared error; optimal pilot patterns; optimal power loading; orthogonal frequency division multiple access; primary users; secondary users; Bandwidth; Channel estimation; Interference; Interpolation; Loading; OFDM; Optimization; Cognitive Radio; Least Squares; OFDMA; Pilot Pattern; Power Loading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Kaleidoscope 2011: The Fully Networked Human? - Innovations for Future Networks and Services (K-2011), Proceedings of ITU
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4577-1935-6
  • Type

    conf

  • Filename
    6144224