• DocumentCode
    2898642
  • Title

    Spectrum Balancing Algorithms for Power Minimization in DSL Networks

  • Author

    Monteiro, Marcio ; Lindqvist, Neiva ; Klautau, Aldebaro

  • Author_Institution
    Signal Process. Lab. (LaPS), Fed. Univ. of Para, Belem, Brazil
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Spectrum balancing (SB) techniques optimize transmission and can significantly improve digital subscriber lines (DSL) services. In the literature, the DSL system optimization is typically formulated as a rate maximization problem. However, there is an increasing interest in minimizing the considerable amount of power consumed by telecommunication networks. Few works in the SB literature have explored algorithms for power minimization. It is known that some existing solutions for rate maximization can be converted into power minimization algorithms. This relation has not been fully explored and, consequently, the area lacks results regarding what can be achieved with power minimization SB algorithms. This work aims to diminish this gap. First, the equivalence between rate maximization and power minimization problems is formalized. Second, extended versions of some rate maximization SB algorithms are proposed for power minimization purposes and evaluated through simulations. In addition, the power-usage capabilities and convergence characteristics of each extended SB algorithms is discussed.
  • Keywords
    digital subscriber lines; power aware computing; DSL network; DSL system optimization; digital subscriber lines services; power minimization algorithm; rate maximization; spectrum balancing algorithm; spectrum balancing technique; telecommunication network; Bit rate; Communications Society; Crosstalk; DSL; Energy consumption; Lagrangian functions; Minimization methods; Signal Processing Society; Signal processing algorithms; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199478
  • Filename
    5199478