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Por favor, use este identificador para citar o enlazar este ítem: http://uvadoc.uva.es/handle/10324/33562
Título: Artificial intelligence (AI) methods in optical networks: A comprehensive survey
Autor: Mata, Javier
De Miguel, Ignacio
Durán Barroso, Ramón José
Merayo, Noemí
Kumar Singh, Sandeep
Jukan, Admela
Chamania, Mohit
Año del Documento: 2018
Editorial: Elsevier
Descripción: Producción Científica
Documento Fuente: Optical Switching and Networking, 2018, Volume 28, Pages 43-57
Resumen: Artificial intelligence (AI) is an extensive scientific discipline which enables computer systems to solve problems by emulating complex biological processes such as learning, reasoning and self-correction. This paper presents a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks. The use of AI-based techniques is first studied in applications related to optical transmission, ranging from the characterization and operation of network components to performance monitoring, mitigation of nonlinearities, and quality of transmission estimation. Then, applications related to optical network control and management are also reviewed, including topics like optical network planning and operation in both transport and access networks. Finally, the paper also presents a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.
Palabras Clave: Red óptica
Inteligencia artificial
Optical network
Artificial intelligence
Revisión por Pares: SI
DOI: https://doi.org/10.1016/j.osn.2017.12.006
Patrocinador: Ministerio de Economía, Industria y Competitividad (Project EC2014-53071-C3-2-P, TEC2015-71932-REDT)
Version del Editor: https://www.sciencedirect.com/science/article/pii/S157342771730231X
Idioma: eng
URI: http://uvadoc.uva.es/handle/10324/33562
Derechos: info:eu-repo/semantics/openAccess
Aparece en las colecciones:DEP71 - Artículos de revista

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