To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

Previous investigations have preliminarily revealed that the two main methods of fiber-
longitudinal power profile estimation (PPE), the correlation-based (CM) and minimum-mean …

In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural
networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical …

In this paper, a joint OSNR and nonlinear noise power estimation scheme based on multi-
task deep neural network (MT-DNN) is proposed with the advantages of dispersion …

In this paper, a new method for the separation of noise categories based on Four-Wave
Mixing is presented. The theoretical analysis is grounded in the Gaussian Noise model and …

We propose a FPGA-based artificial neural network (ANN) architecture with flexible degree
of parallelism (DOP) for nonlinear signal-to-noise ratio (SNR) estimation. Considering the …

Noise Metrology in Optical Communication Systems Page 1 Noise Metrology in Optical
Communication Systems FJ Vaquero-Caballero Department of Engineering University of …

Transmission Performance Evaluation Throughout the Life Cycle of Lightpath in Intelligent
Optical Networks Page 1 S4C.3.pdf Asia Communications and Photonics Conference 2020 © …