activity
20242026
most citedOn the Design and Performance of Machine Learning Based Error Correcting Decoders

1 citations · 1 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SP2026

Low-complexity Soft-decision LLR Calculations for Next-generation IM-DD Systems with RIN

Felipe Villenas, Yunus Can Gültekin, Alex Alvarado

The demand for higher speeds in intra-data center interconnects will eventually require high-order pulse amplitude modulation (PAM) combined with soft-decision (SD) forward error c…

eess.SP2026

Characterizing Nonlinearities in IM-DD Links via the Best Linear Approximation: Distortion Analysis and Modulation Optimization

Sebastian Fraga Fernández, Leonardo Minelli, Fernando de Bernardinis +3

We use the best linear approximation (BLA) to characterize nonlinearities in IM-DD links. The orthogonal nonlinear distortion is shown to be non-Gaussian. The BLA is used to approx…

eess.SP2026

On LLR Calculations for Soft-decision Decoding in Next-generation IM-DD Systems with Laser RIN

Felipe Villenas, Yunus Can Gültekin, Alex Alvarado

We propose a low-complexity LLR approximation for SD decoding in IM-DD systems with relative intensity noise. Our approximation results in no BER performance penalty for a concaten…

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.…

cs.IT2026

High-throughput Low-latency Hardware Implementation of BCH Decoders

Jasper Lagendijk, Wenqing Song, Yunus Can Gültekin +3

Two well-known decoding algorithms for BCH codes are conventional decoding, based on the Berlekamp-Massey algorithm in combination with Chien search, and direct decoding, which use…

cs.IT2026

Optical Communications with Relative Intensity Noise: Channel Modeling and Information Rates

Felipe Villenas, Yunus Can Gültekin, Alex Alvarado

We consider optical communications with intensity modulation and direct detection affected by laser relative intensity noise (RIN). Starting from a continuous-time waveform model,…

eess.SP2025

On Irradiance Distributions for Weakly Turbulent FSO Links: Log-Normal vs. Gamma-Gamma

Carmen Álvarez Roa, Yunus Can Gültekin, Vincent van Vliet +3

Weak turbulence is commonly modeled using the log-normal distribution. Our experimental results show that this distribution fails to capture irradiance fluctuations in this regime.…

cs.IT2025

Lowering Error Floors for Hard Decision Decoding of OFEC Code

Jasper Lagendijk, Yunus Can Gültekin, Alexios Balatsoukas-Stimming +2

Stall patterns are known to cause an error floor in hard decision decoding of the OFEC code. We propose a novel stall pattern removal algorithm that lowers the error floor of state…

eess.SP2025

Beyond 200 Gb/s/lane: An Analytical Approach to Optimal Detection in Shaped IM-DD Optical Links with Relative Intensity Noise

Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2

Next-generation intensity-modulation (IM) and direct-detection (DD) systems used in data centers are expected to operate at 400 Gb/s/lane and beyond. Such rates can be achieved by…

eess.SP2025

On Error Rate Approximations for FSO Systems with Weak Turbulence and Pointing Errors

Carmen Álvarez Roa, Yunus Can Gültekin, Kaiquan Wu +2

Atmospheric attenuation, atmospheric turbulence, geometric spread, and pointing errors, degrade the performance of free-space optical transmission. In the weak turbulence regime, t…

eess.SP2025

A New 5 bit/2D-symbol Modulation Format for Relative Intensity Noise-dominated IM-DD Systems

Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2

We propose a novel 5-bit/2D-symbol modulation format based on PAM-6 optimized for IM-DD systems dominated by relative intensity noise. The proposed modulation scheme improves SNR b…

eess.SP2025

On Geometric Shaping for 400 Gbps IM-DD Links with Laser Intensity Noise

Felipe Villenas, Kaiquan Wu, Yunus Can Gültekin +2

We propose geometric shaping for IM-DD links dominated by relative intensity noise (RIN). For 400 Gbps links, our geometrically-shaped constellations result in error probability im…

eess.SP2025

A Simple BER Expression for FSO Systems with Weak Turbulence and Pointing Errors

C. Álvarez Roa, Y. C. Gültekin, K. Wu +2

We develop a simple approximation for the average BER for an FSO system impacted by weak turbulence and pointing errors. Numerical results show that the proposed expression accurat…

eess.SP2025

On the Optimality of Single-label and Multi-label Neural Network Decoders

Yunus Can Gültekin, Péter Scheepers, Yuncheng Yuan +2

We investigate the design of two neural network (NN) architectures recently proposed as decoders for forward error correction: the so-called single-label NN (SLNN) and multi-label…

eess.SP2024★ 1 cited

On the Design and Performance of Machine Learning Based Error Correcting Decoders

Yuncheng Yuan, Péter Scheepers, Lydia Tasiou +3

This paper analyzes the design and competitiveness of four neural network (NN) architectures recently proposed as decoders for forward error correction (FEC) codes. We first consid…