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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, Metodi P. Yankov, Michael Galili, Leif K. Oxenløwe, Pengyu Guan:
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, Metodi Plamenov Yankov, Tayyab Mehmood, Søren Forchhammer:
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, Søren Forchhammer, Lars Grüner-Nielsen:
Capacity and Achievable Rates of Fading Few-mode MIMO IM/DD Optical Fiber Channels. ICC 2022: 769-774 - [c28]Metodi P. Yankov, Darko Zibar, Andrea Carena, Francesco Da Ros:
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, Periklis Petropoulos, Metodi P. Yankov:
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, Metodi Plamenov Yankov, Shajeel Iqbal, Søren Forchhammer:
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, Leif Katsuo Oxenløwe, Søren Forchhammer:
Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise. Entropy 22(8): 872 (2020) - [j2]Metodi P. Yankov, Martin Aastrup Olsen, Mikkel B. Stegmann, Søren Skovgaard Christensen, Søren Forchhammer:
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, Metodi P. Yankov, Henrik Enggaard Hansen, Anders T. Clausen, Søren Forchhammer, Leif K. Oxenløwe, Rafael C. Figueiredo, Michael Galili:
All-Optical Nonlinear Pre-Compensation of Long-Reach Unrepeatered Systems. ECOC 2020: 1-4 - [c24]Francesco Da Ros, Uiara Celine de Moura, Metodi P. Yankov:
Machine learning-based EDFA Gain Model Generalizable to Multiple Physical Devices. ECOC 2020: 1-4 - [c23]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. ECOC 2020: 1-4 - [c22]Can Zhang, Søren Forchhammer, Jakob Dahl Andersen, Tayyab Mehmood, Metodi P. Yankov, Knud J. Larsen:
Fast SD-Hamming Decoding in FPGA for High-Speed Concatenated FEC for Optical Communication. GLOBECOM 2020: 1-6 - [c21]Ognjen Jovanovic, Rasmus T. Jones, Simone Gaiarin, Metodi P. Yankov, Francesco Da Ros, Darko Zibar:
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, Søren Forchhammer:
Rate-Adaptive Polar-Coded Constellation Shaping for Flexible Optical Networks. ECOC 2018: 1-3 - [c16]Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar:
Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities. ECOC 2018: 1-3 - [c15]Edson P. da Silva, Frederik Klejs, Mads Lillieholm, Shajeel Iqbal, Metodi P. Yankov, Júlio C. M. Diniz, Toshio Morioka, Leif K. Oxenløwe, Michael Galili:
Experimental Characterization of 10×8 GBd DP-1024QAM Transmission with 8-bit DACs and Intradyne Detection. ECOC 2018: 1-3 - [c14]Francesco Da Ros, Metodi P. Yankov, Edson P. da Silva, Mads Lillieholm, Pawel M. Kaminski, Pengyu Guan, Hao Hu, Anders T. Clausen, Michael Galili, Leif K. Oxenløwe:
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, Metodi Plamenov Yankov, Francesco Da Ros, Yoshimichi Amma, Yusuke Sasaki, Takayuki Mizuno, Yutaka Miyamoto, Michael Galili, Søren Forchhammer, Leif K. Oxenløwe, Toshio Morioka:
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, Metodi P. Yankov, Molly Piels, Andy Doberstein, Darko Zibar:
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, Søren Forchhammer, Michael Galili, Leif K. Oxenløwe:
Impact of Signal-Conjugate Wavelength Shift on Optical Phase Conjugation-based Transmission of QAM Signals. ECOC 2017: 1-3 - [c6]Metodi P. Yankov, Luca Barletta, Darko Zibar:
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, Luca Barletta, Norbert Hanik:
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, Søren Forchhammer, Knud J. Larsen, Lars P. B. Christensen:
Approximating the constellation constrained capacity of the MIMO channel with discrete input. ICC 2015: 4018-4023 - 2014
- [j1]Anders Rasmussen, Metodi P. Yankov, Michael S. Berger, Knud J. Larsen, Sarah Ruepp:
Improved Energy Efficiency for Optical Transport Networks by Elastic Forward Error Correction. JOCN 6(4): 397-407 (2014) - [c2]Metodi Yankov, Søren Forchhammer, Knud J. Larsen, Lars P. B. Christensen:
Rate-adaptive constellation shaping for near-capacity achieving turbo coded BICM. ICC 2014: 2112-2117 - [c1]Metodi P. Yankov, Søren Forchhammer, Knud J. Larsen, Lars P. B. Christensen:
Factorization properties of the optimal signaling distribution of multi-dimensional QAM constellations. ISCCSP 2014: 384-387
Coauthor Index
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