A review of machine learning-based failure management in optical networks
Failure management plays a significant role in optical networks. It ensures secure operation,
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …
mitigates potential risks, and executes proactive protection. Machine learning (ML) is …
Failure Management Overview in Optical Networks
S Cruzes - IEEE Access, 2024 - ieeexplore.ieee.org
Conventional optical networks are limited by static operational methods that hinder their
scalability and effectiveness. As networks operate with reduced margins to maximize …
scalability and effectiveness. As networks operate with reduced margins to maximize …
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 …
Demonstration of ML-assisted soft-failure localization based on network digital twins
In optical transport networks, failure localization is usually triggered as a response to alarms
and significant anomalous behaviors. However, the recent evolution of network control and …
and significant anomalous behaviors. However, the recent evolution of network control and …
Anomaly prediction with hybrid supervised/unsupervised deep learning for elastic optical networks: a multi-index correlative approach
With the emergence of new services, the complex optical network environment makes it
more difficult to predict network anomalies. This paper proposes a multi-index anomaly …
more difficult to predict network anomalies. This paper proposes a multi-index anomaly …
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 …
A GaN based soft failure detection and identification framework for long-haul coherent optical communication systems
The rapid progress of 5G, the internet of things (IoT), high-definition online video, and cloud
computing have raised high requirements for the capacity of optical networks. To improve …
computing have raised high requirements for the capacity of optical networks. To improve …
On cooperative fault management in multi-domain optical networks using hybrid learning
This paper presents a hybrid learning approach for cooperative fault management in multi-
domain optical networks (MD-ONs). The proposed approach relies on a broker-based MD …
domain optical networks (MD-ONs). The proposed approach relies on a broker-based MD …
Data-driven method for nonlinear optical fiber channel modeling based on deep neural network
R Jiang, Z Fu, Y Bao, H Wang, X Ding… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
Recently, data-driven fiber channel modeling methods based on deep learning have been
proposed in optical communication system simulations. We investigate a new data-driven …
proposed in optical communication system simulations. We investigate a new data-driven …
SL-Hyper-FleX: a cognitive and flexible-bandwidth optical datacom network by self-supervised learning
This paper presents a cognitive flexible-bandwidth optical interconnect architecture for
datacom networks. The proposed architecture leverages silicon photonic reconfigurable all …
datacom networks. The proposed architecture leverages silicon photonic reconfigurable all …