Cognitive Dynamic Optical Networks

Ignacio de Miguel (Invited author), Ramon J. Duran (Invited author), Tamara Jimenez (Invited author), Natalia Fernandez (Invited author), Juan Carlos Aguado (Invited author), Ruben M. Lorenzo (Invited author), Antonio Caballero Jambrina (Invited author), Idelfonso Tafur Monroy (Invited author), Yabin Ye (Invited author), Andrzej Tymecki (Invited author), Ioannis Tomkos (Invited author), Marianna Angelou (Invited author), Dimitrios Klonidis (Invited author), Antonio Francescon (Invited author), Domenico Siracusa (Invited author), Elio Salvadori (Invited author)

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The use of cognition is a promising element for the control of heterogeneous optical networks. Not only are cognitive networks able to sense current network conditions and act according to them, but they also take into account the knowledge acquired through past experiences; that is, they include learning with the aim of improving performance. In this paper, we review the fundamentals of cognitive networks and focus on their application to the optical networking area. In particular, a number of cognitive network architectures proposed so far, as well as their associated supporting technologies, are reviewed. Moreover, several applications, mainly developed in the framework of the EU FP7 Cognitive Heterogeneous Reconfigurable Optical Network (CHRON) project, are also described.
    Original languageEnglish
    JournalJournal of Optical Communications and Networking
    Volume5
    Issue number10
    Pages (from-to)A107-A118
    ISSN1943-0620
    DOIs
    Publication statusPublished - 2013

    Fingerprint

    Dive into the research topics of 'Cognitive Dynamic Optical Networks'. Together they form a unique fingerprint.

    Cite this