Automating optical network fault management with machine learning
Effective fault management is essential for quality of service assurance in optical networks.
Conventional fault management designs for optical networks mainly rely on threshold-based …
Conventional fault management designs for optical networks mainly rely on threshold-based …
Efficient hybrid multi-faults location based on hopfield neural network in 5G coexisting radio and optical wireless networks
Rapid evolution of 5G mobile network has prompted the design of more reliable service
assurance mechanism for radio and optical wireless networks. It has been a crucial issue of …
assurance mechanism for radio and optical wireless networks. It has been a crucial issue of …
Soft-failure detection, localization, identification, and severity prediction by estimating QoT model input parameters
The performance of optical devices can degrade because of aging and external causes like,
for example, temperature variations. Such degradation might start with a low impact on the …
for example, temperature variations. Such degradation might start with a low impact on the …
AI-based modeling and monitoring techniques for future intelligent elastic optical networks
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
Low-margin optical networking at cloud scale
Every day, customers across the globe connect to cloud service provider servers with
requests for diverse types of data, requiring instantaneous response times and seamless …
requests for diverse types of data, requiring instantaneous response times and seamless …
An architecture to support autonomic slice networking
Network slices combine resource virtualization with the isolation level required by future 5G
applications. In addition, the use of monitoring and data analytics help to maintain the …
applications. In addition, the use of monitoring and data analytics help to maintain the …
Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths
In multi-domain elastic optical networks with alien wavelengths, each domain needs to
consider intradomain and interdomain alien traffic to estimate and guarantee the required …
consider intradomain and interdomain alien traffic to estimate and guarantee the required …
Soft failure identification for long-haul optical communication systems based on one-dimensional convolutional neural network
With the advance of elastic optical networks, optical communication systems are becoming
more flexible and dynamic. In this scenario, soft failures are more likely to occur due to …
more flexible and dynamic. In this scenario, soft failures are more likely to occur due to …
Suspect fault screen assisted graph aggregation network for intra-/inter-node failure localization in ROADM-based optical networks
In optical networks, failure localization is essential to stable operation and service
restoration. Several approaches have been presented to achieve accurate failure …
restoration. Several approaches have been presented to achieve accurate failure …
Machine learning framework for timely soft-failure detection and localization in elastic optical networks
This work proposes a soft-failure evolution and localization framework to detect and localize
the root cause of future hard-failure incidents in a timely manner enabling repair actions to …
the root cause of future hard-failure incidents in a timely manner enabling repair actions to …