An evolutionary algorithm for improved diversity in DSL spectrum balancing solutions
(2010) In Eurasip Journal on Advances in Signal Processing 2010.- Abstract
- There are many spectrum balancing algorithms to combat the deleterious impact of crosstalk interference in digital subscriber lines (DSL) networks. These algorithms aim to find a unique operating point by optimizing the power spectral densities (PSDs) of the modems. Typically, the figure of merit of this optimization is the bit rate, power consumption or margin. This work poses and solves a different problem: instead of providing the solution for one specific operation point, it finds a set of operating points, each one corresponding to a distinct matrix with PSDs. This solution is useful for planning DSL deployment, for example, helping operators to conveniently evaluate their network capabilities and better plan their usage. The proposed... (More)
- There are many spectrum balancing algorithms to combat the deleterious impact of crosstalk interference in digital subscriber lines (DSL) networks. These algorithms aim to find a unique operating point by optimizing the power spectral densities (PSDs) of the modems. Typically, the figure of merit of this optimization is the bit rate, power consumption or margin. This work poses and solves a different problem: instead of providing the solution for one specific operation point, it finds a set of operating points, each one corresponding to a distinct matrix with PSDs. This solution is useful for planning DSL deployment, for example, helping operators to conveniently evaluate their network capabilities and better plan their usage. The proposed method is based on a multiobjective formulation and implemented as an evolutionary genetic algorithm. Simulation results show that this algorithm achieves a better diversity among the operating points with lower computational cost when compared to an alternative approach. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1710034
- author
- Bezerra, Johelden ; Klautau, Aldebaro ; Monteiro, Marcio LU ; Pelaes, Evaldo ; Medeiros, Eduardo LU and Dortschy, Boris
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Eurasip Journal on Advances in Signal Processing
- volume
- 2010
- publisher
- Hindawi Limited
- external identifiers
-
- scopus:77955289359
- ISSN
- 1687-6172
- DOI
- 10.1155/2010/513610
- language
- English
- LU publication?
- no
- id
- 83e12a4d-e2fc-4d44-9aaa-274eae2ab74a (old id 1710034)
- date added to LUP
- 2016-04-04 09:27:14
- date last changed
- 2022-01-29 17:54:45
@article{83e12a4d-e2fc-4d44-9aaa-274eae2ab74a, abstract = {{There are many spectrum balancing algorithms to combat the deleterious impact of crosstalk interference in digital subscriber lines (DSL) networks. These algorithms aim to find a unique operating point by optimizing the power spectral densities (PSDs) of the modems. Typically, the figure of merit of this optimization is the bit rate, power consumption or margin. This work poses and solves a different problem: instead of providing the solution for one specific operation point, it finds a set of operating points, each one corresponding to a distinct matrix with PSDs. This solution is useful for planning DSL deployment, for example, helping operators to conveniently evaluate their network capabilities and better plan their usage. The proposed method is based on a multiobjective formulation and implemented as an evolutionary genetic algorithm. Simulation results show that this algorithm achieves a better diversity among the operating points with lower computational cost when compared to an alternative approach.}}, author = {{Bezerra, Johelden and Klautau, Aldebaro and Monteiro, Marcio and Pelaes, Evaldo and Medeiros, Eduardo and Dortschy, Boris}}, issn = {{1687-6172}}, language = {{eng}}, publisher = {{Hindawi Limited}}, series = {{Eurasip Journal on Advances in Signal Processing}}, title = {{An evolutionary algorithm for improved diversity in DSL spectrum balancing solutions}}, url = {{http://dx.doi.org/10.1155/2010/513610}}, doi = {{10.1155/2010/513610}}, volume = {{2010}}, year = {{2010}}, }