Optical fibre networks are major drivers in 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 (20%+ per year) of bandwidth demand. The current growth sets requirements in terms of capacity and costs for operators, who are seeking to decrease the cost per transmitted bit.
Several solutions have been proposed. Among them, wide-band networks are more favourable to network operators, compared to more (or novel) fibres. However, wide-band optical systems present new major challenges:
Therefore, the application of machine-learning (ML) techniques is of growing importance for high-capacity multi-band (MB) optical systems.
A great benefit of the training and research provided to the MENTOR Early Stage Researchers will be using realistic data, including historical monitored types – provided by the industrial partners – for designing, developing and testing algorithms crucial for real life application.
Thanks to the combination of partners (universities, a system vendor and telecommunication operators), MENTOR represents a unique consortium to facilitate the realistic implementation of ML&AI within the next generation of optical networks.