Failure management plays a role of capital importance in optical networks to avoid service
disruptions and to satisfy customers' service level agreements. Machine learning (ML) …

In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …

In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …

Automated failure-cause identification in communication networks allows operators to
reduce service unavailability. Once the most likely failure root-cause is identified …

The continued growth of both mobile broadband and fixed broadband subscriptions as well
as the added deployment of Internet of Things devices has led to making 5G networks a …

The paper focuses on the security of fiber-optic cable infrastructures by detecting vibrations
using an optical state of polarization analyzer. The developed system can detect various …

The ongoing evolution of optical networks towards autonomous systems supporting high-
performance services beyond 5G requires advanced functionalities for automated security …

Accurate and efficient anomaly detection is a key enabler for the cognitive management of
optical networks, but traditional anomaly detection algorithms are computationally complex …

To support secure and reliable operation of optical networks, we propose a framework for
autonomous anomaly detection, root cause analysis and visualization of the anomaly impact …

Artificial intelligence (AI) is playing a crucial role in monitoring the behaviour of virtual
machines and applications within AT&T's Software Defined Network (SDN). By continuously …