• DocumentCode
    459505
  • Title

    Optimal Source Matching in Optical Code Division Multiple Access

  • Author

    Paryanti, Gil ; Sadot, Dan ; Lyandres, Vladymir

  • Author_Institution
    Ben-Gurion University, Faculty of Engineering Sciences, Unit of Electro-Optical Engineering Unit, Beer-Sheva 8405, Israel. gilparyanti@hotmail.com
  • Volume
    6
  • fYear
    2006
  • fDate
    38869
  • Firstpage
    2630
  • Lastpage
    2635
  • Abstract
    The capacity of a discrete noisy channel is achieved when the transmission source is properly matched to the channel, in the sense that the distribution of the transmitted bits maximizes the channel´s mutual information. Traditional source matching assumes independency between the source and the channel, while the case of source dependent channel is usually ignored. In this article, the source dependant channel of Optical Code Division Multiple Access (OCDMA), dominated by Multiple Access Interference (MAI) is analyzed. It is shown that source dependency of MAI reverses the expected behavior of the OCDMA channel, and also that for a given value of channel condition, or mutual information, the number of concurrent users can be increased when the source is properly matched to the channel. A simple technique, which allows combining source matching with practical bit stream methods such as synchronization, error correction codes and the utilization of different detection methods, is also presented.
  • Keywords
    Bit error rate; Error correction codes; Frequency; Gas insulated transmission lines; Multiaccess communication; Multiple access interference; Mutual information; Optical receivers; Optical sensors; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2006. ICC '06. IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    8164-9547
  • Print_ISBN
    1-4244-0355-3
  • Electronic_ISBN
    8164-9547
  • Type

    conf

  • DOI
    10.1109/ICC.2006.255176
  • Filename
    4024572