Artificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

By Javier Mata, Ignacio de Miguel, Ram'o n J. Dur'a n, Noemí Merayo, Sandeep Kumar Singh, Admela Jukan, Mohit Chamania. Optical Switching and Networkning Journal, 2018

352 citations recorded by the source corpus.

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.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7477379ab2b7d854620daa487cdf639761185a01

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Citations in the corpus

An Overview on Application of Machine Learning Techniques in Optical Networks (2018, background): “Note that another recently published survey [33] proposes a very similar categorization of existing applications of artificial intelligence in optical networks.”