• DocumentCode
    480092
  • Title

    Interference Cancellation/Decoding for Coded Synchronous Multi-carrier DS-CDMA

  • Author

    Guoxiong, Xu ; Changzheng, Ma

  • Author_Institution
    Sch. of Electron. Inf., Zhongyuan Univ. of Technol., Zhengzhou
  • Volume
    3
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    1093
  • Lastpage
    1096
  • Abstract
    In this paper, by applying Turbo principle to convolutionally coded synchronous multi-carrier DS-CDMA, we propose Turbo parallel interference cancellation and decoding, which is termed Turbo PIC/decoding. We make analysis and simulations for Turbo PIC/decoding by the computer. The simulation results show that Turbo PIC/decoding acquires better performance with a posteriori log-likelihood rate (LLR) feedback than with a priori LLR feedback and outperforms the conventional PIC/decoding in performance significantly. Besides, Turbo PIC/ decoding with a posteriori LLR feedback has a lower complexity than that with a priori LLR feedback, which indicates that Turbo PIC/decoding with a posteriori LLR feedback is more favorable for future application because of its better performance and relatively lower implementation complexity.
  • Keywords
    code division multiple access; communication complexity; convolutional codes; feedback; interference suppression; iterative decoding; turbo codes; convolutional coded synchronous multicarrier DS-CDMA; iterative method; low complexity; posteriori log-likelihood rate feedback; turbo parallel interference cancellation decoding; Computational modeling; Convolution; Convolutional codes; Feedback; Interference cancellation; Iterative decoding; Modulation coding; Multiaccess communication; Statistical distributions; Transmitters; BCJR decoding; DS-CDMA; Turbo; multi-carrier; parallel interference cancellation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.923
  • Filename
    4722532