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.
|Journal||Optical Switching and Networking|
|Early online date||22 Sep 2021|
|Publication status||Published - Feb 2022|
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.
- Elastic optical networks
- Genetic algorithms
- Network planning
- Physical layer impairment