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Cognitive Control-Loop for Elastic Optical Networks with Space-Division Multiplexing

Trindade, Silvana ; Torres, Ricardo da S. ; Zhu, Zuqing ; Fonseca, Nelson L. S. da

Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7821 [Periódico revisado por pares]

Basel: MDPI AG

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Título:
Cognitive Control-Loop for Elastic Optical Networks with Space-Division Multiplexing
Autor: Trindade, Silvana ; Torres, Ricardo da S. ; Zhu, Zuqing ; Fonseca, Nelson L. S. da
Assuntos: Algorithms ; Bandwidths ; Carbon monoxide ; cognitive networks ; control loop ; Crosstalk ; Machine learning ; Multiplexing ; Optical communication ; Performance degradation ; space-division multiplexing ; Spectrum allocation ; Traffic congestion ; Virtual networks
É parte de: Sensors (Basel, Switzerland), 2021-11, Vol.21 (23), p.7821
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
These authors contributed equally to this work.
Descrição: This paper introduces a new solution to improve network performance by decreasing spectrum fragmentation, crosstalk interference, blocking of virtual networks, cost, and link load imbalance. These problems degrade the performance of Elastic Optical Networks with Space-Division Multiplexing. The proposed solution, called Cognitive control loop (CO-OP), is capable of identifying a set of problems and creating plans to mitigate these problems. The CO-OP comprises four functions that employ learning algorithms to identify problems and plan a series of actions to reduce or eliminate them. The results show that the CO-OP can effectively decrease up to 30% the blocking of requests and up to 50% the crosstalk occurrence compared to existing algorithms.
Editor: Basel: MDPI AG
Idioma: Inglês

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Cognitive Control-Loop for Elastic Optical Networks with Space-Division Multiplexing

Trindade, Silvana ; Torres, Ricardo da S. ; Zhu, Zuqing ; Fonseca, Nelson L. S. da

Basel: MDPI AG

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