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Ignacio de Miguel

Researcher at University of Valladolid

Publications -  83
Citations -  1110

Ignacio de Miguel is an academic researcher from University of Valladolid. The author has contributed to research in topics: Computer science & Network topology. The author has an hindex of 16, co-authored 64 publications receiving 905 citations. Previous affiliations of Ignacio de Miguel include University of Copenhagen.

Papers
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Artificial intelligence (AI) methods in optical networks: A comprehensive survey

TL;DR: A comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks and a summary of opportunities and challenges in optical networking where AI is expected to play a key role in the near future.
Journal ArticleDOI

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

TL;DR: In this paper, a comprehensive review of the application of AI techniques for improving performance of optical communication systems and networks is presented, including topics like optical network planning and operation in both transport and access networks.
Journal ArticleDOI

Dynamic routing and wavelength assignment in optical networks by means of genetic algorithms

TL;DR: A novel genetic algorithm for solving the dynamic routing and wavelength assignment (DRWA) problem in wavelength-routed optical networks obtains low call blocking probability and employs a very short computation time, and is capable of providing fairness among connections.
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Cognitive dynamic optical networks [invited]

TL;DR: The fundamentals of cognitive networks are reviewed and several applications, mainly developed in the framework of the EU FP7 Cognitive Heterogeneous Reconfigurable Optical Network (CHRON) project, are described.
Proceedings ArticleDOI

Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks

TL;DR: A cognitive Quality of Transmission estimator for classifying lightpaths into high or low quality categories in impairment-aware wavelength-routed optical networks is proposed, based on Case-Based Reasoning, an artificial intelligence technique which solves new problems by exploiting previous experiences.