#5954. Novel evolutionary planning technique for flexible-grid transmission in optical networks
July 2026 | publication date |
Proposal available till | 19-05-2025 |
4 total number of authors per manuscript | 0 $ |
The title of the journal is available only for the authors who have already paid for |
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Journal’s subject area: |
Electrical and Electronic Engineering;
Computer Networks and Communications; |
Places in the authors’ list:
1 place - free (for sale)
2 place - free (for sale)
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4 place - free (for sale)
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.
Keywords:
Elastic optical networks; Genetic algorithms; GN-model; Network planning; Physical layer impairment
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