Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

[HTML][HTML] Signal detection of large scale MIMO physical layer space optical communication system based on genetic algorithm

M Ma - Results in Physics, 2023 - Elsevier
In order to understand the signal detection design of large-scale MIMO physical layer spatial
optical communication systems, the author proposes a research on signal detection of large …

LSTM attention neural-network-based signal detection for hybrid modulated Faster-Than-Nyquist optical wireless communications

M Cao, R Yao, J Xia, K Jia, H Wang - Sensors, 2022 - mdpi.com
In order to improve the accuracy of signal recovery after transmitting over atmospheric
turbulence channel, a deep-learning-based signal detection method is proposed for a faster …

End-to-end deep learning for joint geometric-probabilistic constellation shaping in FMF system

MA Amirabadi, MH Kahaei… - Physical Communication, 2022 - Elsevier
The few-mode fiber (FMF) nonlinear effects including Kerr nonlinearity and nonlinear
coupling are the most important barriers in FMF-based transmission. The performance …

16-channel wavelength division multiplexers based on subwavelength grating

Y Bai, L Wang, L Zhang, P Wang, B Peng - Applied Sciences, 2023 - mdpi.com
Wavelength Division Multiplexing (WDM) plays an important role in optical interconnection.
In this paper, a 16-channel WDM device is designed on a Silicon-On-Insulator (SOI) …

[PDF][PDF] Application of metal halide perovskite photodetectors

X Pan, L Ding - Journal of Semiconductors, 2022 - researching.cn
In recent years, metal halide perovskite materials have attracted wide attention in the fields
of photovoltaics (PVs), light-emitting diodes (LEDs) and photodetectors (PDs) due to their …

Deep learning regression vs. Classification for QoT estimation in SMF and FMF links

MA Amirabadi, MH Kahaei… - … on Optics and …, 2022 - ieeexplore.ieee.org
Deep Learning Regression vs. Classification for QoT Estimation in SMF and FMF Links Page
1 Deep Learning Regression vs. Classification for QoT Estimation in SMF and FMF Links MA …

Assessment of adaptive optics‐corrected optical links statistics from integrated turbulence parameters through a Gaussian process metamodel

E Klotz, S Lefebvre, N Vedrenne… - … Journal of Satellite …, 2024 - Wiley Online Library
With the development of free space optical links (FSO) for space‐ground communications
comes the need to mitigate the effects of the atmospheric turbulence to guarantee a lossless …

An improved deep learning-based end-to-end autoencoder for UAV-to-ground free space optical communication

Q Zhang, G Chen, B Liu, X Zhi, S Zhan, J Zhang… - Optics …, 2023 - Elsevier
In this paper, an improved deep learning-based end-to-end autoencoder is proposed for
unmanned aerial vehicle (UAV) to ground free space optical communication to mitigate …