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Found 37 papers, 1 papers with code
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel Knowledge
An underestimation of the memory largely degrades the performance of both BCJR and BCJRNet, especially in a slow-decaying channel.
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.
Integrated Sensing and Communications with MIMO-OTFS
For the search mode, we introduce the concept of delay-Doppler (DD) multiplexing, enabling omnidirectional probing of the environment and large virtual array at the OTFS radar receiver.
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.
Temporal Properties of Enumerative Shaping: Autocorrelation and Energy Dispersion Index
We study the effective SNR behavior of various enumerative amplitude shaping algorithms.
Time-Limited Waveforms with Minimum Time Broadening for the Nonlinear Schrödinger Channel
Furthermore, we show that the transmission rate of the proposed system increases as the number of used energy levels increases, which is not the case for fundamental solitons due to their effective time-amplitude constraint.
Introducing 4D Geometric Shell Shaping for Mitigating Nonlinear Interference Noise
Reach increase and nonlinearity tolerance are evaluated in terms of achievable information rates and post-FEC bit-error rate.
4D Geometric Shell Shaping with Applications to 400ZR
Geometric shell shaping is introduced and evaluated for reach increase and nonlinearity tolerance in terms of MI against PM-16QAM and PS-PM-16QAM in a 400ZR compatible transmission setup.
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.
Pulses with Minimum Residual Intersymbol Interference for Faster than Nyquist Signaling
Compared to root raised cosine pulses, the new pulses decrease the residual interference by an order of magnitude, for example, a decrease by 32 dB is achieved for an equalizer that considers four interfering symbols at 57% faster transmissions.
Mitigating Nonlinear Interference by Limiting Energy Variations in Sphere Shaping
Band-trellis enumerative sphere shaping is proposed to decrease the energy variations in channel input sequences.
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.
Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding
Signal shaping is vital to approach Shannon's capacity, yet it is challenging to implement at very high speeds.
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.
Real-time Transmission of Geometrically-shaped Signals using a Software-defined GPU-based Optical Receiver
A software-defined optical receiver is implemented on an off-the-shelf commercial graphics processing unit (GPU).
Orthogonal Time Frequency Space Modulation: A Discrete Zak Transform Approach
The time-invariance of the channel in the DD domain enables efficient equalizers for time-frequency dispersive channels.
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.
Kurtosis-limited Sphere Shaping for Nonlinear Interference Noise Reduction in Optical Channels
Nonlinear interference (NLI) generated during the propagation of an optical waveform through the fiber depends on the fourth order standardized moment of the channel input distribution, also known as kurtosis.
Radar Sensing with OTFS: Embracing ISI and ICI to Surpass the Ambiguity Barrier
Orthogonal time frequency space (OTFS) is a promising alternative to orthogonal frequency division multiplexing (OFDM) in high-mobility beyond 5G communications.
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.
Analysis and Experimental Demonstration of Orthant-Symmetric Four-dimensional 7 bit/4D-sym Modulation for Optical Fiber Communication
We propose a new four-dimensional orthant-symmetric 128-ary modulation format (4D-OS128) with a spectral efficiency of 7bit/4D-sym.
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.
End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information
GMI-based end-to-end learning is shown to be highly nonconvex.
Fiber Nonlinearity Mitigation via the Parzen Window Classifier for Dispersion Managed and Unmanaged Links
Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects.
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.
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation
In this case, digital back propagation compensates for the deterministic nonlinearity and the Parzen window deals with the stochastic nonlinear signal-noise interactions, which are not taken into account by digital back propagation.
