• DocumentCode
    1617627
  • Title

    Managing the Degree of Impulsiveness of Other Cell Interference

  • Author

    Gariby, Moran ; Gariby, Tal ; Zamir, Ram

  • Author_Institution
    Dept. of Electr. Eng. Syst., Tel-Aviv Univ., Tel-Aviv
  • fYear
    2008
  • Firstpage
    1398
  • Lastpage
    1403
  • Abstract
    We develop mechanisms for reducing the effect of interference between un-synchronized users by means of controlling the degree of impulsiveness of their interference signals. Our analysis assumes spread-spectrum multiple-access in the form of ternary (0,+1,-1) CDMA signaling. The interference statistics of this signaling and in particular its degree of impulsiveness, can be parameterized while keeping the desired de-spread signal fixed. We find the pairs of random spreading patterns of interferer and user which minimize the bit error rate (BER) at the user, as a function of the signal/interference-to-noise ratio matrix. At low SINRs high degree of impulsiveness (single active chip per spreading sequence) minimizes the BER, while at high SINRs low degree of impulsiveness is better. We then extend our analysis to coded systems with channel state information at the receiver, and show that the same spreading pairs maximize the exponential effective SNR mapping (EESM) criterion at the decoder. Finally, we propose distributed protocols which try to approach the optimal operation points (i.e., pairs of spreading patterns) in the lack of central coordination.
  • Keywords
    code division multiple access; error statistics; protocols; spread spectrum communication; CDMA signaling; bit error rate; cell interference; channel state information; distributed protocols; exponential effective SNR mapping criterion; impulsiveness degree; interference signal statistics; interference-to-noise ratio matrix; optimal operation points; random spreading patterns; spread-spectrum multiple-access; Bit error rate; Channel state information; Decoding; Information analysis; Interference; Multiaccess communication; Signal analysis; Signal to noise ratio; Spread spectrum communication; Statistics;
  • 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.2008.271
  • Filename
    4533307