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 …
Probabilistic constellation shaping for optical fiber communications
We review probabilistic constellation shaping (PCS), which has been a key enabler for
several recent record-setting optical fiber communications experiments. PCS provides both …
several recent record-setting optical fiber communications experiments. PCS provides both …
End-to-end learning for VCSEL-based optical interconnects: State-of-the-art, challenges, and opportunities
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
Wireless power transfer for future networks: Signal processing, machine learning, computing, and sensing
Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its
full potential in future networks, not only to convey information but also to deliver energy …
full potential in future networks, not only to convey information but also to deliver energy …
Physics-based deep learning for fiber-optic communication systems
C Häger, HD Pfister - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
We propose a new machine-learning approach for fiber-optic communication systems
whose signal propagation is governed by the nonlinear Schrödinger equation (NLSE). Our …
whose signal propagation is governed by the nonlinear Schrödinger equation (NLSE). Our …
Constellation shaping chaotic encryption scheme with controllable statistical distribution for OFDM-PON
Z Zhang, Y Luo, C Zhang, X Liang, M Cui… - Journal of lightwave …, 2022 - opg.optica.org
In order to improve the signal transmission performance and physical layer security in
orthogonal frequency division multiplexing-based passive optical network (OFDM-PON), we …
orthogonal frequency division multiplexing-based passive optical network (OFDM-PON), we …
High-cardinality geometrical constellation shaping for the nonlinear fibre channel
This paper presents design methods for highly efficient optimisation of geometrically shaped
constellations to maximise data throughput in optical communications. It describes methods …
constellations to maximise data throughput in optical communications. It describes methods …
Geometric constellation shaping for fiber-optic channels via end-to-end learning
End-to-end learning has become a popular method to optimize a constellation shape of a
communication system. When the channel model is differentiable, end-to-end learning can …
communication system. When the channel model is differentiable, end-to-end learning can …
End-to-end optimization of coherent optical communications over the split-step Fourier method guided by the nonlinear Fourier transform theory
Optimizing modulation and detection strategies for a given channel is critical to maximizing
the throughput of a communication system. Such an optimization can be easily carried out …
the throughput of a communication system. Such an optimization can be easily carried out …
Geometrically-shaped multi-dimensional modulation formats in coherent optical transmission systems
Shaping modulation formats in multi-dimensional (MD) space is an effective approach to
harvest spectral efficiency gains in both the additive white Gaussian noise (AWGN) channel …
harvest spectral efficiency gains in both the additive white Gaussian noise (AWGN) channel …