Abstract

We investigate quality of transmission (QoT) estimation in a multi-band transmission scenario, including a wideband description of the frequency-dependent physical layer parameters and a disaggregated QoT estimation approach.In particular, we use experimentally-derived erbium- and thulium-doped fiber amplifier operational data, and simulate the generation of the nonlinear interference (NLI) noise by comparing implementations of the split-step Fourier method, the generalized Gaussian noise (GGN) model implemented in the open-source GNPy library, and an efficient approximation that provides accurate results in a limited computational time. The latter semi-analytical solution is obtained by approaching the Manakov equation from a disaggregated standpoint, including the power transfer induced by stimulated Raman scattering, along with the frequency-dependent evolution of the fiber parameters of loss, dispersion and the nonlinearity coefficient. We validate the proposed approximation within a C+L+S 400 G transmission scenario and investigate 21 channels under test that are equally spaced along the three bands.

GNPy model of the physical layer for open and disaggregated optical networking [Invited]

Vittorio Curri
J. Opt. Commun. Netw. 14(6) C92-C104 (2022)

Modelling non-linear interference in non-periodic and disaggregated optical network segments

Elliot London, Andrea D’Amico, Emanuele Virgillito, Antonio Napoli, and Vittorio Curri
Opt. Continuum 1(4) 793-803 (2022)

Power control strategies and network performance assessment for C+L+S multiband optical transport

Bruno Correia, Rasoul Sadeghi, Emanuele Virgillito, Antonio Napoli, Nelson Costa, João Pedro, and Vittorio Curri
J. Opt. Commun. Netw. 13(7) 147-157 (2021)

Simulative assessment of non-linear interference generation within disaggregated optical line systems

Elliot London, Emanuele Virgillito, Andrea D’Amico, Antonio Napoli, and Vittorio Curri
OSA Continuum 3(12) 3378-3389 (2020)

Building a digital twin for large-scale and dynamic C+L-band optical networks

Yao Zhang, Min Zhang, Yuchen Song, Yan Shi, Chunyu Zhang, Cheng Ju, Bingli Guo, Shanguo Huang, and Danshi Wang
J. Opt. Commun. Netw. 15(12) 985-998 (2023)