110 citations · 328 across the 12 of their papers we have counts for
8 papers · 1 filter
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.…
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…
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…
Mitigating Nonlinear Interference by Limiting Energy Variations in Sphere Shaping
Yunus Can Gültekin, Alex Alvarado, Olga Vassilieva +4
Band-trellis enumerative sphere shaping is proposed to decrease the energy variations in channel input sequences. Against sphere shaping, 0.74 dB SNR gain and up to 9% increase in…
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…
Probabilistic Shaping for Finite Blocklengths: Distribution Matching and Sphere Shaping
Yunus Can Gültekin, Tobias Fehenberger, Alex Alvarado +1
In this paper, we provide for the first time a systematic comparison of distribution matching (DM) and sphere shaping (SpSh) algorithms for short blocklength probabilistic amplitud…
First Experimental Demonstration of Probabilistic Enumerative Sphere Shaping in Optical Fiber Communications
Sebastiaan Goossens, Sjoerd van der Heide, Menno van den Hout +8
We transmit probabilistic enumerative sphere shaped dual-polarization 64-QAM at 350Gbit/s/channel over 1610km SSMF using a short blocklength of 200. A reach increase of 15% over co…
Enumerative Sphere Shaping for Wireless Communications with Short Packets
Yunus Can Gültekin, Wim J. van Houtum, Arie Koppelaar +1
Probabilistic amplitude shaping (PAS) combines an outer shaping layer with an inner, systematic forward error correction (FEC) layer to close the shaping gap. Proposed for PAS, con…