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Metodi Yankov
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2020 – today
- 2024
- [c34]Metodi Plamenov Yankov, Smaranika Swain, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros:
Rate adaptive constellation shaping for heterogeneous optical networks with variable Qot. ICTON 2024: 1-4 - [c33]Metodi P. Yankov, Edson Porto da Silva, Søren Forchhammer:
Experimental demonstration of error detection-driven nonlinearity compensation for optical fiber communication systems. OFC 2024: 1-3 - 2023
- [j6]Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi, Periklis Petropoulos
, Metodi P. Yankov
Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling. J. Opt. Commun. Netw. 15(8): C192-C202 (2023) - [c32]Shajeel Iqbal, Anders Lund, Metodi P. Yankov, Thomas G. Nørgaard, Søren Forchhammer
Hardware Architecture of Channel Encoding for 5G New Radio Physical Downlink Control Channel. ICC 2023: 2258-2263 - [c31]Edson Porto da Silva, Metodi Plamenov Yankov:
Adaptive Turbo Equalization of Probabilistically Shaped Constellations. OFC 2023: 1-3 - [c30]Xiaoyu Xu, Peter Girouard
PAM8 WDM Transmission based on a Single Time Lens Source with Geometric Shaping. OFC 2023: 1-3 - [i17]Metodi P. Yankov, Mehran Soltani, Andrea Carena, Darko Zibar, Francesco Da Ros:
Optimization of Raman amplifiers: a comparison between black-, grey- and white-box modeling. CoRR abs/2310.05954 (2023) - [i16]Metodi Plamenov Yankov, Smaranika Swain, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros:
BICM-compatible Rate Adaptive Geometric Constellation Shaping Using Optimized Many-to-one Labeling. CoRR abs/2312.09444 (2023) - 2022
- [j5]Toshiki Matsumine
Rate-Adaptive Concatenated Multi-Level Coding With Novel Probabilistic Amplitude Shaping. IEEE Trans. Commun. 70(5): 2977-2991 (2022) - [c29]Metodi P. Yankov, Francesco Da Ros
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels. ICC 2022: 769-774 - [c28]Metodi P. Yankov, Darko Zibar
Forward Raman Amplifier Optimization Using Machine Learning-aided Physical Modeling. OECC/PSC 2022: 1-3 - [i15]Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer, Lars Gruner-Nielsen:
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels. CoRR abs/2201.11538 (2022) - [i14]Metodi Plamenov Yankov, Francesco Da Ros, Uiara Celine de Moura, Andrea Carena, Darko Zibar:
Flexible Raman Amplifier Optimization Based on Machine Learning-aided Physical Stimulated Raman Scattering Model. CoRR abs/2206.07650 (2022) - [i13]Rasmus T. Jones, Kyle R. H. Bottrill, Natsupa Taengnoi
Spectral Power Profile Optimization of Field-Deployed WDM Network by Remote Link Modeling. CoRR abs/2207.01336 (2022) - [i12]Ognjen Jovanovic, Francesco Da Ros, Darko Zibar, Metodi P. Yankov:
Geometric Constellation Shaping for Fiber-Optic Channels via End-to-End Learning. CoRR abs/2211.04311 (2022) - 2021
- [j4]Tayyab Mehmood
Flexible Multilevel Coding With Concatenated Polar-Staircase Codes for M-QAM. IEEE Trans. Commun. 69(2): 728-739 (2021) - [c27]Ognjen Jovanovic, Metodi P. Yankov, Francesco Da Ros, Darko Zibar:
End-to-end Learning of a Constellation Shape Robust to Variations in SNR and Laser Linewidth. ECOC 2021: 1-4 - [c26]Tayyab Mehmood, Metodi P. Yankov, Søren Forchhammer
Rate-adaptive Concatenated Multilevel Coding with Fixed Decoding Complexity. ISTC 2021: 1-5 - [i11]Metodi Plamenov Yankov, Pawel Marcin Kaminski, Henrik Enggaard Hansen, Francesco Da Ros:
SNR optimization of multi-span fiber optic communication systems employing EDFAs with non-flat gain and noise figure. CoRR abs/2106.03639 (2021) - [i10]Edson Porto da Silva, Metodi Plamenov Yankov:
Adaptive Turbo Equalization for Nonlinearity Compensation in WDM Systems. CoRR abs/2109.02148 (2021) - 2020
- [j3]Henrik Enggaard Hansen, Metodi P. Yankov
Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise. Entropy 22(8): 872 (2020) - [j2]Metodi P. Yankov
Fingerprint Entropy and Identification Capacity Estimation Based on Pixel-Level Generative Modelling. IEEE Trans. Inf. Forensics Secur. 15: 56-65 (2020) - [c25]Pawel M. Kaminski, Tiago Sutili, José Hélio da Cruz Júnior, Glauco C. C. P. Simões, Francesco Da Ros
All-Optical Nonlinear Pre-Compensation of Long-Reach Unrepeatered Systems. ECOC 2020: 1-4 - [c24]Francesco Da Ros
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices. ECOC 2020: 1-4 - [c23]Metodi P. Yankov, Uiara Celine de Moura
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling. ECOC 2020: 1-4 - [c22]Can Zhang, Søren Forchhammer
Fast SD-Hamming Decoding in FPGA for High-Speed Concatenated FEC for Optical Communication. GLOBECOM 2020: 1-6 - [c21]Ognjen Jovanovic
Optimization of Fiber Optics Communication Systems via End-to-End Learning. ICTON 2020: 1-3 - [c20]Frederik Klejs, Edson P. da Silva, Mads Lillieholm, Metodi P. Yankov, Toshio Morioka, Leif K. Oxenløwe, Michael Galili:
Spectrally Efficient DP-1024QAM 640 Gb/s Long Haul Transmission using a Frequency Comb. OFC 2020: 1-3 - [c19]Tayyab Mehmood, Metodi P. Yankov, Anders Fisker, Kim Gormsen, Søren Forchhammer:
Rate-Adaptive Concatenated Polar-Staircase Codes for Data Center Interconnects. OFC 2020: 1-3 - [i9]Thomas Wiegart, Francesco Da Ros, Metodi Plamenov Yankov, Fabian Steiner, Simone Gaiarin, Richard D. Wesel:
Probabilistically Shaped 4-PAM for Short-Reach IM/DD Links with a Peak Power Constraint. CoRR abs/2005.12428 (2020) - [i8]Francesco Da Ros, Uiara Celine de Moura, Metodi P. Yankov:
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices. CoRR abs/2009.05326 (2020) - [i7]Metodi P. Yankov, Uiara Celine de Moura, Francesco Da Ros:
Power Evolution Prediction and Optimization in a Multi-span System Based on Component-wise System Modeling. CoRR abs/2009.05348 (2020)
2010 – 2019
- 2019
- [c18]Shajeel Iqbal, Metodi Plamenov Yankov, Søren Forchhammer:
Rate-Adaptive Probabilistic Shaping Enabled by Punctured Polar Codes with Pre-Set Frozen Bits. OFC 2019: 1-3 - [i6]Rasmus T. Jones, Metodi P. Yankov, Darko Zibar:
End-to-end Learning for GMI Optimized Geometric Constellation Shape. CoRR abs/1907.08535 (2019) - 2018
- [c17]Shajeel Iqbal, Metodi P. Yankov
Rate-Adaptive Polar-Coded Constellation Shaping for Flexible Optical Networks. ECOC 2018: 1-3 - [c16]Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov
Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities. ECOC 2018: 1-3 - [c15]Edson P. da Silva, Frederik Klejs, Mads Lillieholm
Experimental Characterization of 10×8 GBd DP-1024QAM Transmission with 8-bit DACs and Intradyne Detection. ECOC 2018: 1-3 - [c14]Francesco Da Ros
Nonlinearity Compensation through Optical Phase Conjugation for Improved Transmission Reach/Rate. ICTON 2018: 1-2 - [c13]Rasmus T. Jones, Simone Gaiarin, Metodi P. Yankov, Darko Zibar:
Noise Robust Receiver for Eigenvalue Communication Systems. OFC 2018: 1-3 - [c12]Francesco Da Ros, Metodi P. Yankov, Edson Porto da Silva, Mads Lillieholm, Søren Forchhammer, Michael Galili, Leif K. Oxenløwe:
Link-Placement Characterization of Optical Phase Conjugation for Nonlinearity Compensation. OFC 2018: 1-3 - [c11]Edson P. da Silva, Metodi P. Yankov, Toshio Morioka, Leif K. Oxenløwe:
FEC-assisted Perturbation-based Nonlinear Compensation for WDM Systems. OFC 2018: 1-3 - [c10]Fabian Steiner, Francesco Da Ros, Metodi Plamenov Yankov, Georg Bocherer, Patrick Schulte, Søren Forchhammer, Gerhard Kramer:
Experimental Verification of Rate Flexibility and Probabilistic Shaping by 4D Signaling. OFC 2018: 1-3 - [i5]Fabian Steiner, Francesco Da Ros, Metodi Plamenov Yankov, Georg Böcherer, Patrick Schulte, Søren Forchhammer, Gerhard Kramer:
Experimental Verification of Rate Flexibility and Probabilistic Shaping by 4D Signaling. CoRR abs/1803.06746 (2018) - [i4]Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar:
Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities. CoRR abs/1805.03785 (2018) - [i3]Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Benjamin J. Puttnam, Georg Rademacher, Ruben S. Luis, Darko Zibar:
Geometric Constellation Shaping for Fiber Optic Communication Systems via End-to-end Learning. CoRR abs/1810.00774 (2018) - 2017
- [c9]Hao Hu
Adaptive Rates of High-Spectral-Efficiency WDM/SDM Channels Using PDM-1024-QAM Probabilistic Shaping. ECOC 2017: 1-3 - [c8]Rasmus T. Jones, Júlio C. M. Diniz
Prediction of Second-Order Moments of Inter-Channel Interference with Principal Component Analysis and Neural Networks. ECOC 2017: 1-3 - [c7]Francesco Da Ros, Mads Lillieholm, Metodi Plamenov Yankov, Pengyu Guan, Hao Hu
Impact of Signal-Conjugate Wavelength Shift on Optical Phase Conjugation-based Transmission of QAM Signals. ECOC 2017: 1-3 - [c6]Metodi P. Yankov
Low-complexity Joint Sub-carrier Phase Noise Compensation for Digital Multi-carrier Systems. ECOC 2017: 1-3 - [c5]Metodi P. Yankov, Edson P. da Silva, Francesco Da Ros, Darko Zibar:
Experimental analysis of pilot-based equalization for probabilistically shaped WDM systems with 256QAM/1024QAM. OFC 2017: 1-3 - [i2]Julian Renner, Tobias Fehenberger, Metodi P. Yankov, Francesco Da Ros, Søren Forchhammer, Georg Böcherer, Norbert Hanik:
Experimental Comparison of Probabilistic Shaping Methods for Unrepeated Fiber Transmission. CoRR abs/1705.01367 (2017) - 2016
- [i1]Metodi P. Yankov, Francesco Da Ros, Edson P. da Silva, Søren Forchhammer, Knud J. Larsen, Leif K. Oxenløwe, Michael Galili, Darko Zibar:
Constellation Shaping for WDM systems using 256QAM/1024QAM with Probabilistic Optimization. CoRR abs/1603.07327 (2016) - 2015
- [c4]Tobias Fehenberger, Metodi P. Yankov
Compensation of XPM interference by blind tracking of the nonlinear phase in WDM systems with QAM input. ECOC 2015: 1-3 - [c3]Metodi P. Yankov
Approximating the constellation constrained capacity of the MIMO channel with discrete input. ICC 2015: 4018-4023 - 2014
- [j1]Anders Rasmussen, Metodi P. Yankov
Improved Energy Efficiency for Optical Transport Networks by Elastic Forward Error Correction. JOCN 6(4): 397-407 (2014) - [c2]Metodi Yankov
Rate-adaptive constellation shaping for near-capacity achieving turbo coded BICM. ICC 2014: 2112-2117 - [c1]Metodi P. Yankov
Factorization properties of the optimal signaling distribution of multi-dimensional QAM constellations. ISCCSP 2014: 384-387
Coauthor Index
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