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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
    Miguel Jiménez, Ignacio deAutoridad UVA Orcid
    Durán Barroso, Ramón JoséAutoridad UVA Orcid
    Merayo Álvarez, NoemíAutoridad UVA Orcid
    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
    Zusammenfassung
    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
    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
    openAccess
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    • DEP71 - Artículos de revista [358]
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    Universidad de Valladolid

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