• DocumentCode
    1444691
  • Title

    On improving the computational efficiency of digital lightwave link simulation

  • Author

    Townsend, J. Keith ; Shanmugan, K. Sam

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    38
  • Issue
    11
  • fYear
    1990
  • fDate
    11/1/1990 12:00:00 AM
  • Firstpage
    2040
  • Lastpage
    2048
  • Abstract
    Monte Carlo simulation can be used to estimate the bit error rate (BER) in digital lightwave communication links. However, when the link includes an avalanche photodetector (APD) receiver and is operating at a low BER, Monte Carlo simulation requires excessive execution time unless assumptions are made about the APD statistics. Techniques are presented that reduce the computational resources required to estimate the BER for these systems by two orders of magnitude. The speed-up is achieved by developing anew, more efficient random number generation algorithm for APD shot noise and by applying a tail extrapolation technique to the conditional distributions at the sample-and-decide input in the receiver. Receiver thermal noise is handled analytically. Accurate BER estimates for an NRZ direct-detection system are obtained in approximately 1.5 CPU hours on a VAXstation II using a combination of these techniques
  • Keywords
    Monte Carlo methods; avalanche photodiodes; optical links; random noise; thermal noise; APD receiver; APD shot noise; BER; Monte Carlo simulation; NRZ direct-detection system; avalanche photodetector; bit error rate; computational efficiency; digital lightwave link simulation; random number generation algorithm; sample-and-decide input; tail extrapolation; thermal noise; Analytical models; Bit error rate; Computational efficiency; Computational modeling; Gaussian noise; Intersymbol interference; Noise generators; Optical noise; Photodetectors; Statistics;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.61486
  • Filename
    61486