The rapid development of communication technologies and emerging network services
provokes data traffic in communication networks, where optical networks act as the …

Machine learning is regarded as an attractive solution for soft failure management in optical
networks; however, the performance of trained models working on unseen data is of growing …

We show combined soft-failure detection, identification und localization enabled by machine
learning using experimentally obtained optical spectra as inputs. Our VAE and GAN-based …

Automated fault management is at the forefront of next-generation optical communication
networks. The increase in complexity of modern networks has triggered the need for …

A vertical perspective, ranging from management and routing to physical layer options,
concerning dynamic network monitoring and compensation of impairments (M&C), is given …

With a focus on failure management in optical networks, we propose a potential failure
cause identification scheme using an attention mechanism for optical transport network …

The Potential of Data Augmentation for Failure Management in Optical Networks Page 1 The
Potential of Data Augmentation for Failure Management in Optical Networks N. Sambo1*, L …

The four articles in this special section focus on advancements in optical communications
and network technologies. In 2019, optical communications and networking technologies …

In recent years, artificial intelligence/machine learning (AI/ML) has played a significant role
in automating optical networks. Despite this, the methods for creating, deploying, and …

Adaptive Failure Prediction Using Long Short-term Memory in Optical Network Page 1
OECC/PSC 2019 ©IEICE Adaptive Failure Prediction Using Long Short-term Memory in Optical …