On probabilistic shaping of quadrature amplitude modulation for the nonlinear fiber channel

T Fehenberger, A Alvarado… - Journal of Lightwave …, 2016 - ieeexplore.ieee.org
Different aspects of probabilistic shaping for a multispan optical communication system are
studied. First, a numerical analysis of the additive white Gaussian noise (AWGN) channel …

A journey from improper Gaussian signaling to asymmetric signaling

S Javed, O Amin, B Shihada… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The deviation of continuous and discrete complex random variables from the traditional
proper and symmetric assumption to a generalized improper and asymmetric …

On the probabilistic shaping and geometric shaping in optical communication systems

Z Qu, IB Djordjevic - IEEE Access, 2019 - ieeexplore.ieee.org
We introduce and compare typical shaping schemes suitable for optical communications.
The geometrically shaped-quadrature amplitude modulation (GS-QAM) formats are …

Neural turbo equalization: Deep learning for fiber-optic nonlinearity compensation

T Koike-Akino, Y Wang, DS Millar… - Journal of Lightwave …, 2020 - ieeexplore.ieee.org
Recently, data-driven approaches motivated by modern deep learning have been applied to
optical communications in place of traditional model-based counterparts. The application of …

Geometrically shaped 16QAM outperforming probabilistically shaped 16QAM

Z Qu, IB Djordjevic - 2017 European Conference on Optical …, 2017 - ieeexplore.ieee.org
Template for Papers ECOC 2015 Page 1 Geometrically Shaped 16QAM Outperforming
Probabilistically Shaped 16QAM Zhen Qu and Ivan B. Djordjevic University of Arizona …

Universal hybrid probabilistic-geometric shaping based on two-dimensional distribution matchers

Z Qu, S Zhang, IB Djordjevic - Optical Fiber Communication …, 2018 - opg.optica.org
We propose universal distribution matchers applicable to any two-dimensional signal
constellation. We experimentally demonstrate that the performance of 32-ary QAM, based on …

Geometric constellation shaping for fiber optic communication systems via end-to-end learning

RT Jones, TA Eriksson, MP Yankov, BJ Puttnam… - arXiv preprint arXiv …, 2018 - arxiv.org
In this paper, an unsupervised machine learning method for geometric constellation shaping
is investigated. By embedding a differentiable fiber channel model within two neural …

Reducing the bullwhip effect by means of intelligent, soft computing methods

C Carlsson, R Fullér - Proceedings of the 34th annual Hawaii …, 2001 - ieeexplore.ieee.org
Considers a series of companies in a supply chain, each of which orders from its immediate
upstream collaborators. Usually, the retailer's orders do not coincide with the actual retail …

[HTML][HTML] Two-dimensional constellation shaping in fiber-optic communications

Z Qu, IB Djordjevic, J Anderson - Applied sciences, 2019 - mdpi.com
Constellation shaping has been widely used in optical communication systems. We review
recent advances in two-dimensional constellation shaping technologies for fiber-optic …

On the optimum signal constellation design for high-speed optical transport networks

T Liu, IB Djordjevic - Optics express, 2012 - opg.optica.org
In this paper, we first describe an optimum signal constellation design algorithm, which is
optimum in MMSE-sense, called MMSE-OSCD, for channel capacity achieving source …