activity
20152026
most citedHigh-Cardinality Geometrical Constellation Shaping for the Nonlinear Fibre Channel

49 citations · 576 across the 50 of their papers we have counts for

collaborators
Showing eess.SPShow all

32 papers · 1 filter

eess.SP2026

End-to-End Modelling of Earthquake-Induced Polarisation Perturbations in Submarine Optical Fibres

Rick M. Butler, José Núñez-Kasaneva, Gabriele Liga +3

We present an end-to-end model of earthquake-perturbed signal propagation in submarine fibres. Ground displacements are converted to fibre strain via ocean pressure, and injected i…

eess.SP2026

Symbol Rate-Code Rate Trade-offs for IM/DD 200G/400G per Lane LPO Transceivers

José Núñez-Kasaneva, Yunus Can Gültekin, Stefanos Dris +3

We analyze the symbol rate-code rate trade-off in bandwidth-limited IM/DD systems targeting LPO transceivers, using PAM-4/6/8 as candidate modulation formats. We use the capacity o…

eess.SP2026

Regular Perturbation on the Group-Velocity Dispersion Parameter for Dual-Polarization Short-Reach Systems

Dario Cellini, Vinícius Oliari, Erik Agrell +3

The Manakov equation governs the propagation of signals in dual-polarization systems. Its solution is usually approximated by regular perturbation on the nonlinear Kerr parameter.…

eess.SP2026

The Memory-Enhanced Gaussian Noise (MEGN) Model for Fiber-Optic Channels

Kaiquan Wu, Gabriele Liga, Marco Secondini +5

The enhanced Gaussian noise (EGN) model is widely used for estimating the nonlinear interference (NLI) power accumulated in coherent fiber-optic transmission systems. Given a fixed…

eess.SP2025

A General Nonlinear Model for Arbitrary Modulation Formats in the Presence of Inter-Channel Simulated Raman Scattering

Zhiwei Liang, Bin Chen, Jiwei Xu +4

The four-dimensional nonlinear model is extended to include the inter-channel stimulated Raman scattering, enabling accurate prediction of dual-polarization four-dimensional modula…

eess.SP2025

Predicting Nonlinear Interference for Short-Blocklength 4D Probabilistic Shaping

Jingxin Deng, Bin Chen, Zhiwei Liang +2

We derive a heuristic nonlinear interference model for 4D probabilistic shaping considering the polarization and time correlation of the 4D symbols. We demonstrate an average SNR p…

eess.SP2024★ 12 cited

On Shaping Gain of Multidimensional Constellation in Linear and Nonlinear Optical Fiber Channel

Bin Chen, Zhiwei Liang, Yi Lei +3

Utilizing the multi-dimensional (MD) space for constellation shaping has been proven to be an effective approach for achieving shaping gains. Despite there exists a variety of MD m…

eess.SP2023

On the Performance of Multidimensional Constellation Shaping for Linear and Nonlinear Optical Fiber Channel

Bin Chen, Zhiwei Liang, Shen Li +3

Multidimensional constellation shaping of up to 32 dimensions with different spectral efficiencies are compared through AWGN and fiber-optic simulations. The results show that no c…

eess.SP2023

Low-Complexity Soft-Decision Detection for Combating DFE Burst Errors in IM/DD Links

Kaiquan Wu, Gabriele Liga, Jamal Riani +1

The deployment of non-binary pulse amplitude modulation (PAM) and soft decision (SD)-forward error correction (FEC) in future intensity-modulation (IM)/direct-detection (DD) links…

eess.SP2023★ 20 cited

Analytical Model of Nonlinear Fiber Propagation for General Dual-Polarization Four-Dimensional Modulation Format

Zhiwei Liang, Bin Chen, Yi Lei +2

Coherent dual-polarization (DP) optical transmission systems encode information on the four available degrees of freedom of an optical field: the two polarization states, each with…

eess.SP2022★ 8 cited

Data-driven Enhancement of the Time-domain First-order Regular Perturbation Model

Astrid Barreiro, Gabriele Liga, Alex Alvarado

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. The op…

eess.SP2022★ 1 cited

Analytical SNR Prediction in Long-Haul Optical Transmission using General Dual-Polarization 4D Formats

Zhiwei Liang, Bin Chen, Yi Lei +2

Nonlinear interference models for dual-polarization 4D (DP-4D) modulation have only been used so far to predict signal-signal nonlinear interference. We show that including the sig…

eess.SP2021

Shaped Four-Dimensional Modulation Formats for Optical Fiber Communication Systems

Bin Chen, Gabriele Liga, Yi Lei +4

We review the design of multidimensional modulations by maximizing generalized mutual information and compare the maximum transmission reach of recently introduced 4D formats. A mo…

eess.SP2021★ 11 cited

High-Cardinality Hybrid Shaping for 4D Modulation Formats in Optical Communications Optimized via End-to-End Learning

Vinícius Oliari, Boris Karanov, Sebastiaan Goossens +6

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 divis…

eess.SP2021

Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel

Gabriele Liga, Bin Chen, Alex Alvarado

The geometry of dual-polarization four-dimensional constellations is optimized in the optical fiber channel using a recent nonlinear interference model. A 0.27 bit/4D rate gain and…

eess.SP2021★ 1 cited

List-encoding CCDM: A Nonlinearity-tolerant Shaper Aided by Energy Dispersion Index

Kaiquan Wu, Gabriele Liga, Alireza Sheikh +3

Recently, a metric called energy dispersion index (EDI) was proposed to indicate the nonlinear interference (NLI) induced by correlated symbols during optical transmission. In this…

eess.SP2021

Exponentially-Weighted Energy Dispersion Index for the Nonlinear Interference Analysis of Finite-Blocklength Shaping

Kaiquan Wu, Gabriele Liga, Yunus Can Gültekin +1

A metric called exponentially-weighted energy dispersion index (EEDI) is proposed to explain the blocklength-dependent effective signal-to-noise ratio (SNR) in probabilistically sh…

eess.SP2021★ 4 cited

A Data-driven Optimization of First-order Regular Perturbation Coefficients for Fiber Nonlinearities

Astrid Barreiro, Gabriele Liga, Alex Alvarado

We study the performance of gradient-descent optimization to estimate the coefficients of the discrete-time first-order regular perturbation (FRP). With respect to numerically comp…

eess.SP2021

Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter with Applications to Passive Optical Networks

Vinícius Oliari, Erik Agrell, Gabriele Liga +1

Signal propagation in an optical fiber can be described by the nonlinear Schrödinger equation (NLSE). The NLSE has no known closed-form solution, mostly due to the interaction of d…

eess.SP2021

Modeling of Nonlinear Interference Power for Dual-Polarization 4D Formats

Gabriele Liga, Bin Chen, Astrid Barreiro +1

We assess the accuracy of a recently introduced nonlinear interference model for general dual-polarization 4D formats.~ Unlike previous models for polarization-multiplexed 2D forma…

eess.SP2020★ 45 cited

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

Rick M. Bütler, Christian Häger, Henry D. Pfister +2

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. The re…

eess.SP2020★ 13 cited

Analytical Modeling of Nonlinear Fiber Propagation for Four Dimensional Symmetric Constellations

Hami Rabbani, Mostafa Ayaz, Lotfollah Beygi +4

Coherent optical transmission systems naturally lead to a four dimensional (4D) signal space, i.e., two polarizations each with two quadratures. In this paper we derive an analytic…

eess.SP2020★ 20 cited

Extending fibre nonlinear interference power modelling to account for general dual-polarisation 4D modulation formats

Gabriele Liga, Astrid Barreiro, Hami Rabbani +1

In optical communications, four-dimensional (4D) modulation formats encode information onto the quadrature components of two arbitrary orthogonal states of polarisation of the opti…

eess.SP2020★ 48 cited

Revisiting Efficient Multi-Step Nonlinearity Compensation with Machine Learning: An Experimental Demonstration

Vinícius Oliari, Sebastiaan Goossens, Christian Häger +7

Efficient nonlinearity compensation in fiber-optic communication systems is considered a key element to go beyond the "capacity crunch''. One guiding principle for previous work on…