Machine learning techniques in optical networks: a systematic mapping study
G Villa, C Tipantuña, D Guamán, GV Arévalo… - IEEE …, 2023 - ieeexplore.ieee.org
During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …
networks, software-defined optical networks, and elastic optical networks are some …
Machine learning for self-coherent detection short-reach optical communications
Driven by emerging technologies such as the Internet of Things, 4K/8K video applications,
virtual reality, and the metaverse, global internet protocol traffic has experienced an …
virtual reality, and the metaverse, global internet protocol traffic has experienced an …
OCATA: a deep-learning-based digital twin for the optical time domain
The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …
multiple applications for network operation, including automation and fault management. In …
OTN-over-WDM optimization in 5G networks: key challenges and innovation opportunities
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 …
as the added deployment of Internet of Things devices has led to making 5G networks a …
Invariant convolutional neural network for robust and generalizable QoT estimation in fiber-optic networks
Accurately estimating the quality of transmission (QoT) in modern transport optical networks
has been regarded as one of the most critical factors to reduce the design margins. In recent …
has been regarded as one of the most critical factors to reduce the design margins. In recent …
A machine learning assisted optical multistage interconnection network: performance analysis and hardware demonstration
S Rengachary Gopalan, H Chandran, N Vijayan… - ETRI …, 2023 - Wiley Online Library
Integration of the machine learning (ML) technique in all‐optical networks can enhance the
effectiveness of resource utilization, quality of service assurances, and scalability in optical …
effectiveness of resource utilization, quality of service assurances, and scalability in optical …
BER and OSNR Based Quality Estimation in Optical Networks using Machine Learning Algorithms
S Sahu, JC Clement, S Indhumathi… - … on Vision Towards …, 2023 - ieeexplore.ieee.org
Currently, optical fiber technology has become much more advanced to transmit higher data
rates over long-distance transmissions. In this area, the research and development work is …
rates over long-distance transmissions. In this area, the research and development work is …
A Comprehensive Study of Machine Learning Application to Transmission Quality Assessment in Optical Networks
This paper examines applying machine learning to the assessment of the quality of the
transmission in optical networks. The motivation for research into this problem derives from …
transmission in optical networks. The motivation for research into this problem derives from …
Survey on Applications of Machine Learning in Low-Cost Non-Coherent Optical Systems: Potentials, Challenges, and Perspective
Direct Detection (DD) optical performance monitoring (OPM), Modulation Format
Identification (MFI), and Baud Rate Identification (BRI) are envisioned as crucial components …
Identification (MFI), and Baud Rate Identification (BRI) are envisioned as crucial components …
Leveraging genetic algorithm to address multi-failure localization in optical networks
M Vejdannik, A Sadr - Optical Switching and Networking, 2023 - Elsevier
Fault management has long been an indispensable component for controlling and
managing telecommunication networks. To prevent huge data losses, it is necessary to …
managing telecommunication networks. To prevent huge data losses, it is necessary to …