• DocumentCode
    3285186
  • Title

    Reduced complexity iterative multiuser detection/decoding for turbo coded CDMA systems

  • Author

    Airstamani, A.A. ; Damnjanovic, Aleksandar D. ; Vojcic, Branimir R.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
  • Volume
    9
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2778
  • Abstract
    Recently, a novel scheme for iterative multiuser detection and turbo decoding was proposed by the authors (2000). It has been shown that the proposed detector approaches the multiuser capacity limit within 1 dB in the low signal-to-noise ratio region. However, the main drawback of the scheme is its exponential complexity in the number of users, which is due to the complexity of the MAP multiuser detector. In this paper, we show that the complexity of the algorithm can be significantly reduced by employing a greedy multiuser detector. The results for both the additive white Gaussian noise and the single-path fading channels show that the substantial reduction in complexity introduces a slight degradation in performance, 0.5 dB compared to MAP detector
  • Keywords
    AWGN channels; code division multiple access; computational complexity; fading channels; iterative decoding; multiuser channels; turbo codes; AWGN channels; MAP multiuser detector; additive white Gaussian noise channels; complexity reduction; greedy multiuser detector; iterative multiuser detection; low signal-to-noise ratio region; single-path fading channels; turbo coded CDMA systems; turbo decoding; AWGN; Additive white noise; Convolutional codes; Degradation; Detectors; Iterative decoding; Multiaccess communication; Multiuser detection; Signal to noise ratio; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.936656
  • Filename
    936656