• DocumentCode
    2566416
  • Title

    An asymptotic lower bound on the capacity of M-ary CDMA transmission with non-Gaussian multi-user interference

  • Author

    Garba, Aminata A. ; Bajcsy, Jan ; Khan, Salman A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montréal, QC, Canada
  • fYear
    2010
  • fDate
    4-7 April 2010
  • Firstpage
    29
  • Lastpage
    35
  • Abstract
    Using an appropriate multi-access channel model, we consider CDMA network transmission with single-user demodulation and decoding at the receiver. We derive the asymptotic distribution of the multi-user interference in case of high-rate transmission that can exceed the conjectured CDMA capacity with Gaussian multi-user interference. We show that the considered multi-user interference is non-Gaussian distributed, having a compound Poisson distribution in the asymptotic case of many active CDMA users. Consequently, we derive and prove a lower bound on the sum capacity of CDMA transmission with single-user demodulation and decoding. The derived capacity lower bound C≥2×e-1Σj=2log2(j)/(j-)!≈1.6544 bits per CDMA chip exceeds significantly the previously conjectured CDMA capacity limit of 0.72 bits per CDMA chip in case of multi-user interference with Gaussian distribution. Finally, we also present numerical results illustrating accuracy of the derived lower bound.
  • Keywords
    Gaussian channels; Poisson distribution; code division multiple access; demodulation; radiofrequency interference; signal detection; Gaussian distribution; M-ary CDMA network transmission; Poisson distribution; asymptotic distribution; asymptotic lower bound; high rate transmission; multiaccess channel; nonGaussian multiuser interference; single user decoding; single user demodulation; Code division multiplexing; Data communication; Decoding; Demodulation; Interference; Multiaccess communication; Signal to noise ratio; Telecommunication computing; Throughput; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications (ICT), 2010 IEEE 17th International Conference on
  • Conference_Location
    Doha
  • Print_ISBN
    978-1-4244-5246-0
  • Electronic_ISBN
    978-1-4244-5247-7
  • Type

    conf

  • DOI
    10.1109/ICTEL.2010.5478767
  • Filename
    5478767