Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
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 …
audience, ranging from optical research and engineering communities to computer science …
A survey on machine learning schemes for fiber nonlinearity mitigation in radio over fiber system
The fifth generation is the most recent generation of communication needed for high data
rates. High spectrum availability, low jitter, high reliability, minimal latency, and increased …
rates. High spectrum availability, low jitter, high reliability, minimal latency, and increased …
Reducing computational complexity of neural networks in optical channel equalization: From concepts to implementation
This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
Machine learning enhanced next-generation optical access networks—challenges and emerging solutions [Invited Tutorial]
Optical access networks are envisioned to become increasingly complex as they support
more and more diverse and immersive services, each with a different capacity, latency, and …
more and more diverse and immersive services, each with a different capacity, latency, and …
High-performance end-to-end deep learning IM/DD link using optics-informed neural networks
In this paper, we introduce optics-informed Neural Networks and demonstrate
experimentally how they can improve performance of End-to-End deep learning models for …
experimentally how they can improve performance of End-to-End deep learning models for …
Measurement informed models and digital twins for optical fiber communication systems
Digital coherent transceivers have developed to the stage that they can monitor the physical
state of an optical network and thus are capable of generating data to build measurement …
state of an optical network and thus are capable of generating data to build measurement …
Memory-aware end-to-end learning of channel distortions in optical coherent communications
We implement a new variant of the end-to-end learning approach for the performance
improvement of an optical coherent-detection communication system. The proposed solution …
improvement of an optical coherent-detection communication system. The proposed solution …
Learnable digital signal processing: a new benchmark of linearity compensation for optical fiber communications
Z Niu, H Yang, L Li, M Shi, G Xu, W Hu… - Light: Science & …, 2024 - nature.com
The surge in interest regarding the next generation of optical fiber transmission has
stimulated the development of digital signal processing (DSP) schemes that are highly cost …
stimulated the development of digital signal processing (DSP) schemes that are highly cost …
Addressing concept drift of dynamic traffic environments through rapid and self-adaptive bandwidth allocation
Passive optical networks are envisioned to become increasingly complex as they support
more and more diverse and immersive services that have different capacity, latency, and …
more and more diverse and immersive services that have different capacity, latency, and …
Autoencoder assisted subcarrier optimization for nonlinear frequency division multiplexing
P Ge, L Xi, J Deng, J Wei, S Du, X Zhang - Optics Express, 2023 - opg.optica.org
Nonlinear frequency division multiplexing (NFDM) is a novel optical communication
technique that can achieve nonlinear free transmission. However, current design of NFDM is …
technique that can achieve nonlinear free transmission. However, current design of NFDM is …