Search Results for author: Metodi Plamenov Yankov

Found 7 papers, 0 papers with code

Spatial Distribution of Data Capacity for the Reduction of Number of Repeaters in Ultra Long-Haul Links

no code implementations30 Jan 2024 Smaranika Swain, Christian Koefoed Schou, Metodi Plamenov Yankov, Michael Galili, Leif Katsuo Oxenløwe

To test the principle of the proposed method, we experimentally and numerically investigate a 6900-km long link with amplifier spacing of 50 and 150 km using a recirculating fiber transmission loop, and find that the result supports the analytical model and thus the proposed method.

BICM-compatible Rate Adaptive Geometric Constellation Shaping Using Optimized Many-to-one Labeling

no code implementations10 Nov 2023 Metodi Plamenov Yankov, Smaranika Swain, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros

The GCS scheme is experimentally demonstrated in a multi-span recirculating loop coherent optical fiber transmission system with a total distance of up to 3000 km.

Quantization

Adaptive Turbo Equalization of Probabilistically Shaped Constellations

no code implementations24 Feb 2023 Edson Porto da Silva, Metodi Plamenov Yankov

Fiber nonlinearity compensation of probabilistically shaped constellations with adaptive turbo equalization is investigated for the first time.

Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model

no code implementations13 Jun 2022 Metodi Plamenov Yankov, Francesco Da Ros, Uiara Celine de Moura, Andrea Carena, Darko Zibar

The forward propagation model is combined with an experimentally-trained ML model of a backward-pumping Raman amplifier to jointly optimize the frequency and power of the forward amplifier's pumps and the powers of the backward amplifier's pumps.

Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems

no code implementations5 Sep 2021 Edson Porto da Silva, Metodi Plamenov Yankov

The estimated channel coefficients are used by a MIMO 2x2 soft-input soft-output (SISO) linear minimum mean square error (LMMSE) equalizer to compensate for the time-varying ISI.

Decoder

SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure

no code implementations7 Jun 2021 Metodi Plamenov Yankov, Pawel Marcin Kaminski, Henrik Enggaard Hansen, Francesco Da Ros

When the input power profile is optimized for flat and maximized received SNR per channel, the minimum performance in an arbitrary 3-span experimental system is improved by up to 8 dB w. r. t.

Gradient-free training of autoencoders for non-differentiable communication channels

no code implementations21 Dec 2020 Ognjen Jovanovic, Metodi Plamenov Yankov, Francesco Da Ros, Darko Zibar

Our results indicate that the autoencoder can be successfully optimized using the proposed training method to achieve better robustness to residual phase noise with respect to standard constellation schemes such as Quadrature Amplitude Modulation and Iterative Polar Modulation for the considered conditions.

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