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
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