Open Access

An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions

  • Johelden Bezerra1, 2Email author,
  • Aldebaro Klautau1,
  • Marcio Monteiro1,
  • Evaldo Pelaes1,
  • Eduardo Medeiros1 and
  • Boris Dortschy3
EURASIP Journal on Advances in Signal Processing20102010:513610

Received: 4 December 2009

Accepted: 14 April 2010

Published: 23 May 2010


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 AlgorithmEvolutionary AlgorithmPower Spectral DensityOperating PointUnique Operating

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Authors’ Affiliations

Signal Processing Laboratory (LaPS), Federal University of Para (UFPA), Belem, Brazil
Departamento de Ensino de Informação e Comunicação (DIC), Federal Institute of Para (IFPA), Belem, 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.