• DocumentCode
    3285132
  • Title

    A new method of summing crosstalk from mixed sources: the generalized FSAN method

  • Author

    Galli, Stefano ; Kerpez, Kenneth J.

  • Author_Institution
    Telcordia Technol. Inc., Morristown, NJ, USA
  • Volume
    9
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2752
  • Abstract
    Digital subscriber lines (DSL) are fundamentally limited by crosstalk. The case where all crosstalk is from the same type of DSL has been studied over the years and accurate models have been standardized. However, crosstalk from multiple different types of DSL is a relatively new area of study and models of summing mixed crosstalk have only recently been postulated. In this contribution, a new method of summing crosstalk due to mixed sources is proposed. This new method consists of deriving lower bounds to the worst-case method, which is intrinsically too pessimistic. It has been ascertained that the exploitation of the Minkowski inequality yields a new model that exhibits appealing properties. Moreover, it is shown here for the first time that the full service access network (FSAN) method is a particular case of the Minkowski-bound method and not, as previously believed, a method with no “physical justification or mathematical soundness.” Finally, simulation results that confirm the effectiveness of this new method are presented
  • Keywords
    crosstalk; digital subscriber lines; DSL; Minkowski inequality; digital subscriber lines; full service access network method; generalized FSAN method; lower bounds; mixed sources; summing crosstalk method; Crosstalk; DSL; Electromagnetic fields; Mathematical model; Probability density function; Probability distribution; Signal generators; Subscriber loops; Telephony; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2001. ICC 2001. IEEE International Conference on
  • Conference_Location
    Helsinki
  • Print_ISBN
    0-7803-7097-1
  • Type

    conf

  • DOI
    10.1109/ICC.2001.936651
  • Filename
    936651