• DocumentCode
    2672671
  • Title

    Capacity comparison of turbo and convolutional codes in multi-cell DS-CDMA systems

  • Author

    Yuan Li ; Li, Kwok H.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
  • Volume
    6
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2762
  • Abstract
    The reverse-link capacity of multi-cell DS-CDMA systems is compared for turbo and convolutional codes, where the distribution of multiple-access interference is approximated as Gaussian in the decoding process. Frame sizes and processing gains representing narrow- and wide-band DS-CDMA systems are examined. Simulation results show that the accuracy of Gaussian approximation is acceptable for the reverse-link application. While marginal improvement is observed in narrow-band turbo-coded DS-CDMA systems, turbo codes are capable of doubling the capacity over conventional codes in wide-band DS-CDMA systems
  • Keywords
    Gaussian distribution; cellular radio; channel capacity; channel coding; code division multiple access; convolutional codes; multiuser channels; radio links; radiofrequency interference; spread spectrum communication; turbo codes; Gaussian approximation; Gaussian distribution; capacity comparison; cellular radio; channel coding; convolutional codes; decoding; frame size; multi-cell DS-CDMA systems; multiple-access interference; narrow-band DS-CDMA systems; processing gain; reverse-link; reverse-link capacity; simulation results; turbo codes; wide-band DS-CDMA systems; Convolutional codes; Error correction codes; Gaussian approximation; Iterative decoding; Maximum likelihood decoding; Multiaccess communication; Multiple access interference; Narrowband; Turbo codes; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2000. IEEE-VTS Fall VTC 2000. 52nd
  • Conference_Location
    Boston, MA
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-6507-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2000.886822
  • Filename
    886822