Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …
dramatically increased owing to the deployment of advanced coherent techniques, and the …
Machine learning methods for optical communication systems and networks
Abstract Machine learning (ML) is being hailed as a new direction of innovation to transform
future optical communication systems. Signal processing paradigms based on ML are being …
future optical communication systems. Signal processing paradigms based on ML are being …
Optical performance monitoring using digital coherent receivers and convolutional neural networks
We experimentally demonstrate accurate modulation format identification, optical signal to
noise ratio (OSNR) estimation, and bit error ratio (BER) estimation of optical signals for …
noise ratio (OSNR) estimation, and bit error ratio (BER) estimation of optical signals for …
Neural network training for OSNR estimation from prototype to product
Neural Network Training for OSNR Estimation From Prototype to Product Page 1 M4E.2.pdf
OFC 2020 © OSA 2020 Neural Network Training for OSNR Estimation From Prototype to …
OFC 2020 © OSA 2020 Neural Network Training for OSNR Estimation From Prototype to …
Optical nonlinearity monitoring and launch power optimization by artificial neural networks
We present a linear-to-nonlinear power ratio monitor based on a shallow artificial neural
network and the optical power spectrum. The neural network is trained with experimental …
network and the optical power spectrum. The neural network is trained with experimental …
Joint linear and nonlinear noise estimation of optical links by exploiting carrier phase recovery
D Lippiatt, S Varughese, T Richter… - 2020 Optical Fiber …, 2020 - ieeexplore.ieee.org
Joint Linear and Nonlinear Noise Estimation of Optical Links by Exploiting Carrier Phase
Recovery Page 1 Th2A.49.pdf OFC 2020 © OSA 2020 Joint Linear and Nonlinear Noise …
Recovery Page 1 Th2A.49.pdf OFC 2020 © OSA 2020 Joint Linear and Nonlinear Noise …
Joint linear and nonlinear noise monitoring techniques based on spectrum analysis
As one of the key indicators of signal quality in fiber communication systems, optical signal-
to-noise ratio (OSNR) needs to be accurately monitored to ensure reliable network planning …
to-noise ratio (OSNR) needs to be accurately monitored to ensure reliable network planning …
DSP-aided telemetry in monitoring linear and nonlinear optical transmission impairments
DSP-aided Telemetry in Monitoring Linear and Nonlinear Optical Transmission Impairments
Page 1 M2J.1.pdf OFC 2020 © OSA 2020 DSP-aided Telemetry in Monitoring Linear and …
Page 1 M2J.1.pdf OFC 2020 © OSA 2020 DSP-aided Telemetry in Monitoring Linear and …
In-band perturbation based OSNR estimation
FJ Vaquero-Caballero, D Charlton… - arXiv preprint arXiv …, 2020 - arxiv.org
Perturbed spectra are modelled to estimate OSNR for a single channel amplified link.
Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of …
Perturbation-dependent nonlinear noise is separated from constant ASE noise using a set of …
[PDF][PDF] 基于人工智能技术的光通信网络应用研究
沈纲祥 - 通信学报, 2020 - infocomm-journal.com
针对人工智能(AI) 技术在光通信网络中的应用进行探讨. 主要介绍了AI 技术代表性应用和光通信
网络开放性导致的AI 技术失效的潜在风险, 并针对这些风险提出了一些应对策略 …
网络开放性导致的AI 技术失效的潜在风险, 并针对这些风险提出了一些应对策略 …