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Found 21 papers, 1 papers with code
On the Performance of Multidimensional Constellation Shaping for Linear and Nonlinear Optical Fiber Channel
Multidimensional constellation shaping of up to 32 dimensions with different spectral efficiencies are compared through AWGN and fiber-optic simulations.
Low-Complexity Soft-Decision Detection for Combating DFE Burst Errors in IM/DD Links
The proposed structure enables a tradeoff between complexity and performance: (i) the complexity of MLM or SOVA is reduced and (ii) the decoding penalty due to error propagation is mitigated.
Analytical Model of Nonlinear Fiber Propagation for General Dual-Polarization Four-Dimensional Modulation Format
As an application of our model, we further study the effects of signal-noise interactions in long-haul transmission via the proposed model.
Data-driven Enhancement of the Time-domain First-order Regular Perturbation Model
A normalized batch gradient descent optimizer is proposed to improve the first-order regular perturbation coefficients of the Manakov equation, often referred to as kernels.
Analytical SNR Prediction in Long-Haul Optical Transmission using General Dual-Polarization 4D Formats
Nonlinear interference models for dual-polarization 4D (DP-4D) modulation have only been used so far to predict signal-signal nonlinear interference.
Shaped Four-Dimensional Modulation Formats for Optical Fiber Communication Systems
We review the design of multidimensional modulations by maximizing generalized mutual information and compare the maximum transmission reach of recently introduced 4D formats.
High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical Communications Optimized via End-to-End Learning
In this paper we carry out a joint optimization of probabilistic (PS) and geometric shaping (GS) for four-dimensional (4D) modulation formats in long-haul coherent wavelength division multiplexed (WDM) optical fiber communications using an auto-encoder framework.
Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel
The geometry of dual-polarization four-dimensional constellations is optimized in the optical fiber channel using a recent nonlinear interference model.
List-encoding CCDM: A Nonlinearity-tolerant Shaper Aided by Energy Dispersion Index
Recently, a metric called energy dispersion index (EDI) was proposed to indicate the nonlinear interference (NLI) induced by correlated symbols during optical transmission.
A Data-driven Optimization of First-order Regular Perturbation Coefficients for Fiber Nonlinearities
We study the performance of gradient-descent optimization to estimate the coefficients of the discrete-time first-order regular perturbation (FRP).
Exponentially-Weighted Energy Dispersion Index for the Nonlinear Interference Analysis of Finite-Blocklength Shaping
A metric called exponentially-weighted energy dispersion index (EEDI) is proposed to explain the blocklength-dependent effective signal-to-noise ratio (SNR) in probabilistically shaped fiber-optic systems.
Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter with Applications to Passive Optical Networks
The model can be seen as an improvement of the recently proposed regular perturbation (RP) on the GVD parameter.
Temporal Energy Analysis of Symbol Sequences for Fiber Nonlinear Interference Modelling via Energy Dispersion Index
This blocklength dependency of SNR has been attributed to time-varying statistical properties of the symbol sequences, in particular, to variation of the symbol energies.
Information Theory Signal Processing Information Theory
Modeling of Nonlinear Interference Power for Dual-Polarization 4D Formats
We assess the accuracy of a recently introduced nonlinear interference model for general dual-polarization 4D formats.~ Unlike previous models for polarization-multiplexed 2D formats, an average gap from split-step Fourier simulations within 0. 1 dB is demonstrated.
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
In this paper, we propose a model-based machine-learning approach for dual-polarization systems by parameterizing the split-step Fourier method for the Manakov-PMD equation.
Analytical Modeling of Nonlinear Fiber Propagation for Four Dimensional Symmetric Constellations
This nonlinear interference discrepancy between the results of the proposed model and the EGN model could be up to 2. 8 dB for a system with 80 WDM channels.
Extending fibre nonlinear interference power modelling to account for general dual-polarisation 4D modulation formats
In optical communications, four-dimensional (4D) modulation formats encode information onto the quadrature components of two arbitrary orthogonal states of polarisation of the optical field.
Revisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration
One guiding principle for previous work on the design of practical nonlinearity compensation schemes is that fewer steps lead to better systems.
Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation
We propose a model-based machine-learning approach for polarization-multiplexed systems by parameterizing the split-step method for the Manakov-PMD equation.
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
In this paper, we apply deep learning for communication over dispersive channels with power detection, as encountered in low-cost optical intensity modulation/direct detection (IM/DD) links.
Information Theory Signal Processing Information Theory
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
For the efficient compensation of fiber nonlinearity, one of the guiding principles appears to be: fewer steps are better and more efficient.
