A contemporary survey on free space optical communication: Potentials, technical challenges, recent advances and research direction
Due to the unprecedented growth of high speed multimedia services and diversified
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
applications initiated from the massive connectivity of IoT devices, 5G and beyond 5G (B5G) …
An optical communication's perspective on machine learning and its applications
Machine learning (ML) has disrupted a wide range of science and engineering disciplines in
recent years. ML applications in optical communications and networking are also gaining …
recent years. ML applications in optical communications and networking are also gaining …
A survey of modulation classification using deep learning: Signal representation and data preprocessing
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …
management, and control for addressing technical issues, including spectrum awareness …
Machine learning techniques for optical performance monitoring and modulation format identification: A survey
The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …
unprecedented challenges to the next generation smart optical networks. In this regard, the …
Machine learning techniques for quality of transmission estimation in optical networks
Y Pointurier - Journal of Optical Communications and …, 2021 - ieeexplore.ieee.org
The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …
(ML) has recently been the focus of a large body of research. We discuss the sources of …
Optical camera communications: Principles, modulations, potential and challenges
Optical wireless communications (OWC) are emerging as cost-effective and practical
solutions to the congested radio frequency-based wireless technologies. As part of OWC …
solutions to the congested radio frequency-based wireless technologies. As part of OWC …
OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique
Z Wang, A Yang, P Guo, P He - Optics express, 2018 - opg.optica.org
The optical signal-to-noise ratio (OSNR) and fiber nonlinearity are critical factors in
evaluating the performance of high-speed optical fiber communication systems. Recently …
evaluating the performance of high-speed optical fiber communication systems. Recently …
Application of machine learning in fiber nonlinearity modeling and monitoring for elastic optical networks
Fiber nonlinear interference (NLI) modeling and monitoring are the key building blocks to
support elastic optical networks. In the past, they were normally developed and investigated …
support elastic optical networks. In the past, they were normally developed and investigated …
[HTML][HTML] AI-enabled intelligent visible light communications: Challenges, progress, and future
Photonics | Free Full-Text | AI-Enabled Intelligent Visible Light Communications: Challenges,
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …
Fiber-longitudinal anomaly position identification over multi-span transmission link out of receiver-end signals
T Tanimura, S Yoshida, K Tajima, S Oda… - Journal of Lightwave …, 2020 - opg.optica.org
We have developed a fiber-longitudinal monitor that visualizes distance-wise optical power
throughout the entire multi-span link by using the signal waveform obtained by a coherent …
throughout the entire multi-span link by using the signal waveform obtained by a coherent …