• DocumentCode
    1515533
  • Title

    Distribution of the Demmel Condition Number of Wishart Matrices

  • Author

    Zhong, Caijun ; McKay, Matthew R. ; Ratnarajah, Tharm ; Wong, Kai-Kit

  • Author_Institution
    ECIT, Queen´´s Univ. Belfast, Belfast, UK
  • Volume
    59
  • Issue
    5
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    1309
  • Lastpage
    1320
  • Abstract
    This paper studies the Demmel condition number of Wishart matrices, a quantity which has numerous applications to wireless communications, such as adaptive switching between beamforming and diversity coding, link adaptation, and spectrum sensing. For complex Wishart matrices, we give an exact analytical expression for the probability density function (p.d.f.) of the Demmel condition number, and also derive simplified expressions for the high tail regime. These results indicate that the condition of complex Wishart matrices is dominantly decided by the difference between the matrix dimension and degree of freedom (DoF), i.e., the probability of drawing a highly ill conditioned matrix decreases considerably when the difference between the matrix dimension and DoF increases. We further investigate real Wishart matrices, and derive new expressions for the p.d.f. of the smallest eigenvalue, when the difference between the matrix dimension and DoF is odd. Based on these results, we succeed to obtain an exact p.d.f. expression for the Demmel condition number, and simplified expressions for the high tail regime.
  • Keywords
    eigenvalues and eigenfunctions; radiocommunication; statistical distributions; Demmel condition number; Wishart matrix; adaptive switching; beamforming; degree of freedom; diversity coding; eigenvalue; link adaptation; matrix dimension; probability density function; probability distribution; spectrum sensing; wireless communication; Closed-form solution; Eigenvalues and eigenfunctions; MIMO; Multiplexing; Sensors; Tensile stress; Wireless communication; Demmel condition number; Wishart matrix; probability distribution;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2011.040111.100137
  • Filename
    5766671