Novel Evolutionary Planning Technique for Flexible-grid Transmission in Optical Networks

Matheus R. Sena*, Pedro J. Freire, Leonardo D. Coelho, Alex F. Santos, Antonio Napoli, Raul C. Almeida

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a novel joint resource allocation technique for flexible-grid systems by utilizing non-dominant sort genetic algorithm (NSGA-II) in a multi-objective optimization framework. It pioneers the implementation of an evolutionary mechanism to optimize resources as means of mitigation of physical layer impairments. This investigation initially introduces a proposal in which bandwidth reduction, maximization of the minimum signal-to-noise ratio (SNR) margin, and minimization/maximization of the sum of SNR margins are studied under dual-objective Pareto analysis in the link-level scenario. Later, the technique extends existing provisioning strategies for network planning by targeting the reduction of blocking and spectral utilization of optical connections.
Original languageEnglish
Article number100648
JournalOptical Switching and Networking
Volume43
Early online date22 Sep 2021
DOIs
Publication statusE-pub ahead of print - 22 Sep 2021

Bibliographical note

© 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Funding: This work has received partial funding from the EU Horizon 2020 program under the Marie Skodowska-Curie grant agreement No. 813144 (REAL-NET) and the Brazilian National Council for Scientific and Technological Development (CNPq), as well as the institutional support from UFPE and UFBA.

Keywords

  • Elastic optical networks
  • GN-model
  • Genetic algorithms
  • Network planning
  • Physical layer impairment

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