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  • Research Article
  • Open Access

An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions

  • 1, 2Email author,
  • 1,
  • 1,
  • 1,
  • 1 and
  • 3
EURASIP Journal on Advances in Signal Processing20102010:513610

https://doi.org/10.1155/2010/513610

  • Received: 4 December 2009
  • Accepted: 14 April 2010
  • Published:

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.

Keywords

  • Genetic Algorithm
  • Evolutionary Algorithm
  • Power Spectral Density
  • Operating Point
  • Unique Operating

Publisher note

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Authors’ Affiliations

(1)
Signal Processing Laboratory (LaPS), Federal University of Para (UFPA), Belem, PA, Brazil
(2)
Departamento de Ensino de Informação e Comunicação (DIC), Federal Institute of Para (IFPA), Belem, PA, Brazil
(3)
Broadband Access Research Laboratory, Ericsson AB, Kista, stockholm, Sweden

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