With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …

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 …

Current management of optical communication systems is conservative, manual-based, and
time-consuming. To improve this situation, building an intelligent closed-loop control system …

For the first time, a combination of grayscale maps and single-channel convolutional neural
networks (CNN) is used in the direct detection optical performance monitoring (OPM) …

We propose an ensemble deep transfer learning (EDTL) method, which is a more refined
multilayer feature extraction achieved by aggregating the convolutional layers of pretrained …

An intelligent optical performance monitoring scheme for simultaneous modulation format
identification (MFI) and optical signal-to-noise ratio (OSNR) monitoring is proposed and …

Blind modulation format identification (MFI) is indispensable for correct signal demodulation
and optical performance monitoring in future elastic optical networks (EON). Existing MFI …

We propose a simultaneous baud rate identification (BRI), modulation format identification
(MFI) and multi-parameter optical performance monitoring (OPM) scheme for elastic optical …

We demonstrate accurate estimation of generalized optical signal to noise ratio (GOSNR) for
wavelength division multiplexed fiber communication systems using an experimentally …

Modulation format identification (MFI) is a critical technology for autonomous digital coherent
receivers in next-generation elastic optical networks. A novel and simple MFI scheme, to the …