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Photonics

Photonics is an international, scientific, peer-reviewed, open access journal on the science and technology of optics and photonics, published monthly online by MDPI.

Quartile Ranking JCR - Q3 (Optics)

All Articles (5,868)

Accurate quality-of-transmission (QoT) estimation prior to lightpath deployment is essential for minimizing design margins in optical networks. Owing to their high precision and strong generalization capabilities, artificial neural networks (ANNs) have emerged as a promising approach for lightpath QoT estimation. However, focusing exclusively on prediction accuracy is inadequate for maximizing global network capacity. Conventional models employing symmetric loss functions apply identical penalties to both overestimation and underestimation errors, thereby precluding controlled bias in predictions and their impact on overall network capacity. This paper investigates the margin configuration for the whole network capacity and proposes a novel QoT estimation method with asymmetric loss functions, which jointly considers the assessment of global network capacity and gives different penalties for overestimation and underestimation. We further present an iterative search algorithm grounded in network capacity considerations to optimize the parameters of these asymmetric loss functions. Simulation results confirm that our ANN-based models facilitate efficient modulation format assignment, leading to corresponding increases in network capacity.

11 November 2025

Overestimation and underestimation.
  • Communication
  • Open Access

A Heuristic Time-Domain Raman Forward Solver for Photon Migration in a Two-Layer Diffusive Medium

  • Naseer Kammalamuriyil,
  • Andrea Farina and
  • Alessandro Bossi
  • + 5 authors

An analytical heuristic model has been developed to describe the time-domain reflectance Raman signal in a two-layer diffusive medium. The model is based on the solution of two coupled diffusion equations at the excitation and emission wavelengths, respectively. The accuracy of the model is verified by comparison with the results of Monte Carlo simulations. This solver correctly accounts for the Raman emitters within the layers and the full wavelength dependence of the optical properties of the layers. The computational efficiency of the solver is compatible with the requirements of rapid reconstructions of Raman spectra from time-domain Raman measurements acquired for a large number of different wavelengths.

11 November 2025

(a) Schematic of a two-layer cylinder illuminated by a pencil beam source with the representation of some symbols used in the Theory section. (b) Schematic of some trajectories resulting from light injected at 
  λ
, which, after interacting with the Raman scatterers, are converted into the emission wavelength 
  
    λ
    e
  
 due to Raman scattering and finally collected at the detector site.

We report the experimental observation of dissipative solitons (DS) in an erbium-doped fiber laser mode-locked with ethylene glycol. Stable individual dissipative solitons with the fundamental repetition frequency of 35.17 MHz are obtained. The spectral profiles exhibit dynamic variation, adopting either a parabolic-like or an M-like shape at varying pump levels. Moreover, through increasing the pump power and/or appropriately regulating the polarization controller, multiple dissipative solitons, including soliton pairs and soliton triplet states have also been achieved. The generation mechanism is attributed to the phenomenon of peak clamping effect. This is the first demonstration of a dissipative soliton laser utilizing ethylene glycol as a saturable absorber. It is anticipated that this demonstration will spur further attention on organic liquid SAs and potentially extend significant influence for the application of ultrafast lasers.

11 November 2025

The absorption spectrum of ethylene glycol. Inset: the molecular structure of ethylene glycol.

The Faster-than-Nyquist (FTN) technology is widely used in optical wireless communication (OWC) systems to improve data rates and spectrum efficiency. However, it introduces inter-symbol interference (ISI), which can affect communication reliability. To address this issue, we propose a pre-equalization algorithm based on a deep neural network (DNN). The performance analysis primarily focuses on the bit-error-rate (BER) under a Gamma-Gamma atmospheric turbulence channel with varying acceleration factors. Simulation results show that our scheme effectively reduces the degradation in BER caused by ISI. Additionally, we observe an inverse relationship between the BER performance and the atmospheric refractive index constants as well as transmission distance, while a direct proportionality exists with respect to the filter roll-off factor and laser wavelength. Furthermore, comparing with conventional minimum mean square error (MMSE) and zero-forcing (ZF) algorithms highlights the superior performance of our proposal.

11 November 2025

DL-assisted pre-equalization neural network for FTN-OWC system.

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Editors: Luigi Sirleto, François Sanchez
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Photonics - ISSN 2304-6732