Description du projet
Concevoir la nouvelle génération de réseaux optiques à haute capacité
Six chercheurs en début de carrière vont être formés à des applications d’apprentissage automatique dans le domaine des communications optiques multibandes. Il s’agit d’un domaine interdisciplinaire de haute importance industrielle. Le projet MENTOR, financé par l’UE, a défini les sujets de recherche et d’apprentissage à étudier, et assuré des partenariats avec quatre grandes sociétés. L’objectif du projet est de concevoir la nouvelle génération de réseaux optiques à haute capacité, qui constituent une composante clé de l’infrastructure globale de télécommunication. La demande croissante (+ 20 % par an) nécessite une augmentation de capacité et appelle les opérateurs à réduire le coût par bit transmis. La quête d’une solution mène les chercheurs à des techniques d’apprentissage automatique. Ce sont en réalité des techniques de choix pour s’attaquer à des problèmes techniques complexes de ce type.
Objectif
Optical fiber networks is one of the major drivers of our societal progress and a key enabler of the global telecommunication infrastructure. Optical networks underwent considerable changes over the past decade, as consequence of a continuous growth (exceeding 20% per year) of bandwidth demand. The current growth sets strong requirements in terms of capacity and costs for the operators, which seek to decrease the cost per transmitted bit. Several solutions have been proposed, and among them wide-band is more favourable to network operators, compared to more/or novel fibers. However, wide-band optical system presents new major challenges: optical components must guarantee similar performance over a broad spectrum, network optimization is carried out on a non-flat spectrum and with a much larger number of channels making design, optimization and control a complex problem. Therefore, application of machine learning (ML) techniques is of the growing importance for high-capacity multi-band (MB) optical systems. ML is becoming the technique of choice to solve complex nonlinear technical problems, such as, advance component design and management of wide-band networks.
The European Industrial Doctorate MENTOR presents a timely proposal to train 6 ESRs in the interdisciplinary field of high industrial importance: ML applications in multi-band optical communications. As ML can properly works only when a large amount of real data is available, it is crucial to bring together academic partners and the industry that provide access to the data. MENTOR consortium offers the strong industrial commitment of four large companies (CORIANT Germany and Portugal, ORANGE Labs and TELECOM ITALIA MOBILE) that significantly contributed in defining the research and training topics to be studied together with the world-leading academic partners in MENTOR. MENTOR will contribute to the European economy by design of the next generation of high-capacity optical networks.
Champ scientifique
- engineering and technologymaterials engineeringfibers
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksoptical networks
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesphysical sciencesopticsfibre optics
Mots‑clés
Programme(s)
Régime de financement
MSCA-ITN - Marie Skłodowska-Curie Innovative Training Networks (ITN)Coordinateur
B4 7ET Birmingham
Royaume-Uni