Increasing internet traffic, along with rising complexity of optical communication systems have motivated the development of novel experimental, mathematical and computational tools. Optical networks are being used in more applications such as 5G wireless systems in which internet traffic continuously varies in both time and location. Slow reconfiguration in optical networks leads to network inefficiency and under-utilization of resources. This problem created interest in realizing a reliable method that can perform real-time switching and wavelength provisioning, in order to adapt to the fluctuating traffic patterns. Such systems having rapid-switching capabilities are susceptible to power excursions that diminish the Quality of Transmissi...
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of co...
The quality of transmission (QoT) estimation of lightpaths (LPs) has both technological and economic...
Machine Learning (ML) is becoming an integral part of Quality-of-Transmission (QoT) estimation frame...
Telecommunication systems have been through continuous evolution to keep up the fast-growing network...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
The continuous growth of Internet traffic, including HD video rendering, cloud computing, and the In...
International audienceThe increasing complexity of optical networks to support a multitude of servic...
In multi-domain elastic optical networks with alien wavelengths, each domain needs to consider intra...
We propose the use of machine-learning based regression model to predict the quality of transmission...
Machine learning (ML) is currently being investigated as an emerging technique to automate quality o...
Recent advances in software and hardware greatly improve the multi-layer control and management of r...
For reliable and efficient network planning and operation, accurate estimation of Quality of Transmi...
By streaming real-time Optical Transport Network (OTN) and optical performance parameters from netwo...
The rapid development of data-driven techniques brings us new applications, such asfifth-generation ...
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of co...
The quality of transmission (QoT) estimation of lightpaths (LPs) has both technological and economic...
Machine Learning (ML) is becoming an integral part of Quality-of-Transmission (QoT) estimation frame...
Telecommunication systems have been through continuous evolution to keep up the fast-growing network...
Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous d...
The continuous growth of Internet traffic, including HD video rendering, cloud computing, and the In...
International audienceThe increasing complexity of optical networks to support a multitude of servic...
In multi-domain elastic optical networks with alien wavelengths, each domain needs to consider intra...
We propose the use of machine-learning based regression model to predict the quality of transmission...
Machine learning (ML) is currently being investigated as an emerging technique to automate quality o...
Recent advances in software and hardware greatly improve the multi-layer control and management of r...
For reliable and efficient network planning and operation, accurate estimation of Quality of Transmi...
By streaming real-time Optical Transport Network (OTN) and optical performance parameters from netwo...
The rapid development of data-driven techniques brings us new applications, such asfifth-generation ...
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of co...
The quality of transmission (QoT) estimation of lightpaths (LPs) has both technological and economic...
Machine Learning (ML) is becoming an integral part of Quality-of-Transmission (QoT) estimation frame...