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Machine learning based routing and wavelength assignment in optical networks

Alessandro De Vitis

Machine learning based routing and wavelength assignment in optical networks.

Rel. Andrea Bianco, Cristina Emma Margherita Rottondi. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2021

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Abstract:

The objective of this thesis is the application of machine learning approaches to perform routing and wavelength assignment in wavelength division multiplexed optical networks, with a specific focus on scalability to large scale scenarios. In particular, a Graph Neural Network will be trained based on various types of input graphs, in order to efficiently perform resource allocation in real time by implementing different routing and walength assignment strategies.

Relators: Andrea Bianco, Cristina Emma Margherita Rottondi
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 102
Subjects:
Corso di laurea: Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni)
Classe di laurea: New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING
Ente in cotutela: Poznan University of Technology (POLONIA)
Aziende collaboratrici: Politecnico di Torino
URI: http://webthesis.biblio.polito.it/id/eprint/17895
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