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 closed-form approximation of the Gaussian noise model in the presence of inter-channel stimulated Raman scattering
An accurate, closed-form expression evaluating the nonlinear interference (NLI) power in
coherent optical transmission systems in the presence of inter-channel stimulated Raman …
coherent optical transmission systems in the presence of inter-channel stimulated Raman …
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 …
A modulation format correction formula for the Gaussian noise model in the presence of inter-channel stimulated Raman scattering
A closed-form formula is derived, which corrects for the modulation format dependence of
the Gaussian noise (GN) model in the presence of inter-channel stimulated Raman …
the Gaussian noise (GN) model in the presence of inter-channel stimulated Raman …
Polarization-ring-switching for nonlinearity-tolerant geometrically shaped four-dimensional formats maximizing generalized mutual information
In this paper, a new four-dimensional 64-ary polarization ring switching (4D-64PRS)
modulation format with a spectral efficiency of 6 bit/4D-sym is introduced. The format is …
modulation format with a spectral efficiency of 6 bit/4D-sym is introduced. The format is …
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 …
A machine learning-based detection technique for optical fiber nonlinearity mitigation
We investigate the performance of a machine learning classification technique, called the
Parzen window, to mitigate the fiber nonlinearity in the context of dispersion managed and …
Parzen window, to mitigate the fiber nonlinearity in the context of dispersion managed and …
Study on the impact of nonlinearity and noise on the performance of high-capacity broadband hybrid Raman-EDFA amplified system
We experimentally demonstrated the transmission of 312 35 GBd DP-256QAM over 9 70 km
spans using hybrid distributed Raman-EDFA (HRE) amplifiers with a continuous 91 nm gain …
spans using hybrid distributed Raman-EDFA (HRE) amplifiers with a continuous 91 nm gain …
On numerical simulations of ultra-wideband long-haul optical communication systems
This paper discusses the key issues in reliable modeling and numerical simulation of ultra-
wideband (UWB) long-haul fiber-optic systems, such as those spanning the C+ L band. We …
wideband (UWB) long-haul fiber-optic systems, such as those spanning the C+ L band. We …
Nonlinearity mitigation in WDM systems: Models, strategies, and achievable rates
M Secondini, E Agrell, E Forestieri… - Journal of Lightwave …, 2019 - opg.optica.org
After reviewing models and mitigation strategies for interchannel nonlinear interference
(NLI), we study its characteristics and coherence properties. Based on this study, we devise …
(NLI), we study its characteristics and coherence properties. Based on this study, we devise …