This PhD course aims to introduce students to optical networking below layer-3, focusing on state-of-the art WDM optical transport exploiting coherent optical technologies. The application of WDM optical transport in different transparent networking scenarios is first addressed. Then, transparent lightpath propagation is analyzed to present different solutions for the abstraction of data transport following a software-defined approach. Optical-transport-aware network control and management is addressed, including AI-assisted solutions.

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- Overview on optical transport networks: Data Center Interconnect, metro and extended metro, backbone, submarine - WDM optical transport in transparent networks exploiting coherent optical technologies - Mathematical models for linear and nonlinear impairments to abstract optical transport through a quality-of-transmission estimator: different approaches for different scenarios - Software-defined optical networking for planning, control and management: close&aggregated vs. open&disaggregated approaches - AI-assisted self-cognitive line control - AI-assisted software-defined optical-transport-aware network planning and management - AI-Assited PIC design and control Exam: discussion of assignments based on Python software applying the presented concepts

A distanza in modalità sincrona

Presentazione orale

P.D.1-1 - Febbraio