• DocumentCode
    1617698
  • Title

    Semi-Blind Power Allocation for Digital Subscriber Lines

  • Author

    Moraes, Rodrigo ; Dortschy, Boris ; Klautau, Aldebaro ; Riu, Jaume Rius i

  • Author_Institution
    Signal Process. Lab., Fed. Univ. of Para, Belem
  • fYear
    2008
  • Firstpage
    1420
  • Lastpage
    1425
  • Abstract
    Digital subscriber lines (DSL) are today one of the most important means for delivering high-speed data transmission. An emerging technique for dealing with one of the technology´s most harmful problems, crosstalk, is dynamic spectrum management (DSM). DSM literature already counts with some half a dozen important solutions. These solutions can be classified according to four different aspects: optimality, computational cost, distribution and required crosstalk channel information. In this work we present an algorithm, named semi- blind spectrum balancing, which achieves a compelling trade-off between these four aspects. The scheme is based on the idea of optimization against a virtual line, a fictitious line to represent the damage caused to other users in the network. This line is adjusted with the aid of limited message-passing between modems and a central agent and very simple crosstalk channel information. Crosstalk channel knowledge required should be much simpler to obtain than full channel estimation.
  • Keywords
    crosstalk; digital subscriber lines; message passing; optimisation; telecommunication channels; central agent; channel estimation; crosstalk channel information; digital subscriber line; dynamic spectrum management; message passing; modems; optimization; semi blind power allocation; semi blind spectrum balancing; Communications Society; Computational efficiency; Crosstalk; DSL; Data communication; Educational Activities Board; Laboratories; Modems; OFDM modulation; Radio spectrum management;
  • 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.2008.275
  • Filename
    4533311