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Spectrum balancing algorithms for power minimization in DSL networks

Monteiro, Marcio LU ; Lindqvist, Neiva LU and Klautau, Aldebaro (2009) IEEE International Conference on Communications, 2009
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.... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
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
host publication
[Host publication title missing]
conference name
IEEE International Conference on Communications, 2009
conference location
Dresden, Germany
conference dates
2009-06-14 - 2009-06-18
external identifiers
  • scopus:70449479002
ISSN
1938-1883
ISBN
978-1-4244-3435-0
DOI
10.1109/ICC.2009.5199478
language
English
LU publication?
no
id
6804322b-e49d-4da1-a6fa-7f83d1124c3d (old id 1653398)
date added to LUP
2016-04-04 09:30:03
date last changed
2022-01-29 18:10:56
@inproceedings{6804322b-e49d-4da1-a6fa-7f83d1124c3d,
  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.}},
  author       = {{Monteiro, Marcio and Lindqvist, Neiva and Klautau, Aldebaro}},
  booktitle    = {{[Host publication title missing]}},
  isbn         = {{978-1-4244-3435-0}},
  issn         = {{1938-1883}},
  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}},
  language     = {{eng}},
  title        = {{Spectrum balancing algorithms for power minimization in DSL networks}},
  url          = {{http://dx.doi.org/10.1109/ICC.2009.5199478}},
  doi          = {{10.1109/ICC.2009.5199478}},
  year         = {{2009}},
}