An Evolutionary Algorithm for Improved Diversity in DSL Spectrum Balancing Solutions. (23rd May 2010)

• Record Type: Journal Article
• Authors: Bezerra Bezerra, Johelden Johelden; Klautau Klautau, Aldebaro Aldebaro; Monteiro Monteiro, Marcio Marcio; Pelaes Pelaes, Evaldo Evaldo; Medeiros Medeiros, Eduardo Eduardo; Dortschy Dortschy, Boris Boris
• Other Names: Tombras Tombras George George Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-05-23
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/513610
• Languages: English
• ISSNs: 1687-6172

Abstract

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.