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  • Research Article
  • Open Access

An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions

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EURASIP Journal on Advances in Signal Processing20102010:513610

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


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.


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

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Authors’ Affiliations

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


© Johelden Bezerra et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.