• DocumentCode
    2310784
  • Title

    Asymptotic eigenvalue moments for linear multiuser detection

  • Author

    Li, Linbo ; Tulino, Antonia M. ; Verdú, Sergio

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    2
  • fYear
    2001
  • fDate
    4-7 Nov. 2001
  • Firstpage
    1177
  • Abstract
    Using the theory of lattices of non-crossing partitions, an explicit expression is obtained for the asymptotic moments of certain infinite random matrices that arise in multiuser detection in DS-CDMA systems with random spreading. By using this explicit expression, we obtain a self-contained proof of the Tse-Hanly formula for the output signal-to-interference-plus-noise ratio of a MMSE multiuser detector. The asymptotic moment results are used to design a low-complexity polynomial approximation of a linear multiuser detector. Analytical and numerical results of their performance analysis are also given.
  • Keywords
    code division multiple access; eigenvalues and eigenfunctions; least mean squares methods; multiuser channels; polynomial approximation; signal detection; spread spectrum communication; DS-CDMA systems; MMSE multiuser detector; Tse-Hanly formula; asymptotic eigenvalue moments; infinite random matrices; lattices of noncrossing partitions; linear multiuser detection; low-complexity polynomial approximation; output signal-to-interference-plus-noise ratio; random spreading; Detectors; Ear; Eigenvalues and eigenfunctions; Lattices; Multiaccess communication; Multiuser detection; Performance analysis; Performance gain; Polynomials; Random variables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-7147-X
  • Type

    conf

  • DOI
    10.1109/ACSSC.2001.987677
  • Filename
    987677