• DocumentCode
    1796403
  • Title

    Design of LDPC codes for binary-input Gaussian interference channels

  • Author

    Shancheng Zhao ; Xiao Ma ; Baoming Bai

  • Author_Institution
    Dept. of ECE, Sun Yat-sen Univ., Guangzhou, China
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    Due to the existence of multiuser interference, codes optimized for point-to-point links may be unsuitable for multiuser networks. In this paper, we are concerned with the design of low-density parity-check (LDPC) codes for binary-input Gaussian interference channels (GIFC). We utilize a Monte-Carlo approach based on the downhill-simplex algorithm to obtain good LDPC degree distributions for GIFC. Simulation results show that the constructed codes perform better than codes optimized only for point-to-point links. For symmetric GIFC with coefficient h2 = 0.75, coding gain about 0.6 dB is obtained. These results indicate that, as opposed to using off-the-shell codes designed for point-to-point links, new codes should be designed in multiuser networks.
  • Keywords
    AWGN channels; Monte Carlo methods; binary codes; interference (signal); multiuser channels; parity check codes; radio links; AWGN channels; LDPC code design; LDPC degree distributions; Monte Carlo approach; binary-input Gaussian interference channels; coding gain; downhill-simplex algorithm; gain 0.6 dB; low-density parity-check code design; multiuser network interference; off-the-shell code design; point-to-point links; symmetric GIFC; AWGN channels; Algorithm design and analysis; Decoding; Iterative decoding; Joints; Optimization; Gaussian interference channels; LDPC codes; Tanner graph; joint decoding algorithm; multiuser systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China (ICCC), 2014 IEEE/CIC International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/ICCChina.2014.7008245
  • Filename
    7008245