• DocumentCode
    1617597
  • Title

    Asymptotic Performance of DS-CDMA with Linear MMSE Receiver and Limited Feedback

  • Author

    Santipach, Wiroonsak

  • Author_Institution
    Dept. of Electr. Eng. Fac. of Eng., Kasetsart Univ. Bangkok, Bangkok
  • fYear
    2008
  • Firstpage
    1393
  • Lastpage
    1397
  • Abstract
    Signature quantization for reverse-link direct sequence (DS)-code division multiple access (CDMA) is considered. A receiver assumed to have perfect estimates of channel and interference covariance, selects the signature that maximizes signal-to-interference plus noise ratio (SINR) for a desired user from a signature codebook. The codebook index corresponding to the optimal signature is relayed to the user with finite number of bits via a feedback channel. Previously, it was shown that a random vector quantization (RVQ) codebook, which contains independent isotropically distributed vectors, is optimal (i.e., maximizes SINR) in a large system limit in which number of interfering users, processing gain, and feedback bits tend to infinity with fixed ratios. Here we derive exact expressions for a large system SINR for the user whose signature is selected from RVQ codebook. We assume that the receiver is linear minimum mean squared error (MMSE) and consider both ideal and multipath fading channels.
  • Keywords
    code division multiple access; fading channels; feedback; interference (signal); least mean squares methods; multipath channels; radio receivers; spread spectrum communication; vector quantisation; channel covariance; feedback channel; interference covariance; limited feedback; linear MMSE receiver; linear minimum mean squared error; multipath fading channels; random vector quantization codebook; reverse-link direct sequence code division multiple access; signal-to-interference plus noise ratio; signature codebook; signature quantization; Communications Society; Fading; Feedback; H infinity control; Interference; Multiaccess communication; Relays; Signal to noise ratio; Transmitters; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2008. ICC '08. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2075-9
  • Electronic_ISBN
    978-1-4244-2075-9
  • Type

    conf

  • DOI
    10.1109/ICC.2008.270
  • Filename
    4533306