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2020 – today
- 2024
[j12]Sergio Hernandez Fernandez
, Christophe Peucheret, Francesco Da Ros, Darko Zibar:
End-to-end optimization of optical communication systems based on directly modulated lasers. J. Opt. Commun. Netw. 16(8): 29 (2024)- [c55]Sergio Hernandez Fernandez, Christophe Peucheret, Francesco Da Ros, Darko Zibar:
Machine Learning Enabled Directly Modulated Lasers. ICTON 2024: 1 - [c54]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 - [c53]Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros:
Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator. IJCNN 2024: 1-7 - [c52]Yevhenii Osadchuk, Deming Kong, Darko Zibar, Francesco Da Ros:
Nonlinear Vector Autoregressor Equalization for PAM-4 Micro-Ring Modulator-based Short-Reach Transmission. OFC 2024: 1-3 - [i26]Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros:
Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator. CoRR abs/2407.21189 (2024) - 2023
- [i25]Sergio Hernandez Fernandez, Christophe Peucheret, Ognjen Jovanovic, Francesco Da Ros, Darko Zibar:
Data-Driven Modeling of Directly-Modulated Lasers. CoRR abs/2305.10348 (2023) - [i24]Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros:
Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing. CoRR abs/2307.07011 (2023) - [i23]Ali Cem, Ognjen Jovanovic, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning. CoRR abs/2308.11630 (2023) - [i22]Sergio Hernandez Fernandez, Ognjen Jovanovic, Christophe Peucheret, Francesco Da Ros, Darko Zibar:
Differentiable Machine Learning-Based Modeling for Directly-Modulated Lasers. CoRR abs/2309.15747 (2023) - [i21]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) - [i20]Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros:
Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing. CoRR abs/2310.09433 (2023) - [i19]Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar, Francesco Da Ros:
Multi-parallel-task Time-delay Reservoir Computing combining a Silicon Microring with WDM. CoRR abs/2310.16588 (2023) - [i18]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
- [c51]Ali Cem, Siqi Yan, Uiara Celine de Moura, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs. OFC 2022: 1-3 - [c50]Uiara C. de Moura, Francesco Da Ros, Darko Zibar, Ann Margareth Rosa Brusin, Andrea Carena:
Machine learning applied to inverse systems design. ONDM 2022: 1-3 - [c49]Uiara C. de Moura, TiagoC Pinto, Ann Margareth Rosa Brusin, Andrea Carena, Antonio Napoli, Darko Zibar, Francesco Da Ros:
Online versus Offline Optimization Methods for Raman Amplifier Optimization. OECC/PSC 2022: 1-4 - [c48]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 - [i17]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) - [i16]Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar:
Experimental Validation of Spectral-Spatial Power Evolution Design Using Raman Amplifiers. CoRR abs/2206.07658 (2022) - [i15]Mehran Soltani, Francesco Da Ros, Andrea Carena, Darko Zibar:
Experimental validation of machine-learning based spectral-spatial power evolution shaping using Raman amplifiers. CoRR abs/2209.13401 (2022) - [i14]Ali Cem, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers. CoRR abs/2210.09171 (2022) - [i13]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) - [i12]Muralikrishnan Srinivasan, Jinxiang Song, Alexander Grabowski, Krzysztof Szczerba, Holger K. Iversen, Mikkel N. Schmidt, Darko Zibar, Jochen Schröder, Anders Larsson, Christian Häger, Henk Wymeersch:
End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities. CoRR abs/2211.14481 (2022) - [i11]Ali Cem, Ognjen Jovanovic, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning. CoRR abs/2211.16038 (2022) - [i10]Yevhenii Osadchuk, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros:
Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission. CoRR abs/2212.00738 (2022) - 2021
- [c47]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 - [c46]Uiara C. de Moura, Darko Zibar, A. Margareth Rosa Brusin, Andrea Carena, Francesco Da Ros:
Generalization Properties of Machine Learning-based Raman Models. OFC 2021: 1-3 - [c45]Francesco Da Ros, Uiara C. de Moura, Ruben S. Luis, Georg Rademacher, Benjamin J. Puttnam, Ann Margareth Rosa Brusin, Andrea Carena, Yoshinari Awaji, Hideaki Furukawa, Darko Zibar:
Optimization of a Hybrid EDFA-Raman C+L Band Amplifier through Neural-Network Models. OFC 2021: 1-3 - [i9]Ali Cem, Siqi Yan, Uiara Celine de Moura, Yunhong Ding, Darko Zibar, Francesco Da Ros:
Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs. CoRR abs/2111.14787 (2021) - 2020
- [j11]Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen:
Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz. IEEE Access 8: 7925-7936 (2020) - [j10]Yuefeng Ji, Chao Lu, Darko Zibar, Huanlai Xing:
Special focus on artificial intelligence for optical communications. Sci. China Inf. Sci. 63(6) (2020) - [c44]Stenio M. Ranzini, Roman Dischler, Francesco Da Ros, Henning Bülow, Darko Zibar:
Experimental Demonstration of Optoelectronic Equalization for Short-reach Transmission with Reservoir Computing. ECOC 2020: 1-4 - [c43]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 - [c42]A. Margareth Rosa Brusin, Uiara C. de Moura, Andrea D'Amico, Vittorio Curri, Darko Zibar, Andrea Carena:
Load Aware Raman Gain Profile Prediction in Dynamic Multi-Band Optical Networks. OFC 2020: 1-3 - [c41]Uiara C. de Moura, Francesco Da Ros, A. Margareth Rosa Brusin, Andrea Carena, Darko Zibar:
Experimental Demonstration of Arbitrary Raman Gain-Profile Designs using Machine Learning. OFC 2020: 1-3 - [c40]Darko Zibar, Uiara C. de Moura, Hou-Man Chin, A. Margareth Rosa Brusin, Nitin Jain, Francesco Da Ros, Sebastian Kleis, Christian G. Schaeffer, Tobias Gehring, Ulrik L. Andersen, Andrea Carena:
Advancing Classical and Quantum Communication Systems with Machine Learning. OFC 2020: 1-3 - [i8]Stenio M. Ranzini, Roman Dischler, Francesco Da Ros, Henning Bülow, Darko Zibar:
Experimental Demonstration of Optoelectronic Equalization for Short-reach Transmission with Reservoir Computing. CoRR abs/2010.06502 (2020)
2010 – 2019
- 2019
- [j9]Francesco Musumeci, Cristina Rottondi, Avishek Nag, Irene Macaluso, Darko Zibar, Marco Ruffini, Massimo Tornatore:
An Overview on Application of Machine Learning Techniques in Optical Networks. IEEE Commun. Surv. Tutorials 21(2): 1383-1408 (2019) - [c39]Darko Zibar, Alessio Ferrari, Vittorio Curri, Andrea Carena:
Machine Learning-Based Raman Amplifier Design. OFC 2019: 1-3 - [c38]Jakob Thrane, Darko Zibar, Henrik Lehrmann Christiansen:
Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz. VTC Fall 2019: 1-5 - [i7]Rasmus T. Jones, Metodi P. Yankov, Darko Zibar:
End-to-end Learning for GMI Optimized Geometric Constellation Shape. CoRR abs/1907.08535 (2019) - 2018
- [j8]Júlio César Medeiros Diniz, Francesco Da Ros, Darko Zibar:
Clock Recovery Challenges in DSP-Based Coherent Single-Mode and Multi-Mode Optical Systems. Future Internet 10(7): 59 (2018) - [j7]Massimo Tornatore, Martin Birk, Alan Pak Tao Lau, Qiong Zhang, Darko Zibar:
Introduction to the JOCN Special Issue on Machine Learning and Data Analytics for Optical Communications and Networking. JOCN 10(10): ML1-ML2 (2018) - [j6]Stefan Werzinger, Darko Zibar, Max Köppel, Bernhard Schmauss:
Model-Based Position and Reflectivity Estimation of Fiber Bragg Grating Sensor Arrays. Sensors 18(7): 2268 (2018) - [c37]G. Brajato, Darko Zibar:
Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature. ECOC 2018: 1-3 - [c36]Rasmus T. Jones, Tobias A. Eriksson, Metodi P. Yankov, Darko Zibar:
Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities. ECOC 2018: 1-3 - [c35]Xiaofeng Lu, Darko Zibar, Idelfonso Tafur Monroy:
24-Dimensional Rate-Flexible Carrierless and Amplitude Phase Modulation for 100G IM-DD Transmission Using 850nm VCSEL. ECOC 2018: 1-3 - [c34]Rasmus T. Jones, Simone Gaiarin, Metodi P. Yankov, Darko Zibar:
Noise Robust Receiver for Eigenvalue Communication Systems. OFC 2018: 1-3 - [c33]Xiaofeng Lu, Darko Zibar, Idelfonso Tafur Monroy:
Net 100 Gbit/s Eight-dimensional Formats Loaded Discrete Multitone Transmission Using 850 nm Multimode VCSEL. OFC 2018: 1-3 - [c32]Jakob Thrane, Matteo Artuso, Darko Zibar, Henrik Lehrmann Christiansen:
Drive Test Minimization Using Deep Learning with Bayesian Approximation. VTC Fall 2018: 1-5 - [i6]Simone Gaiarin, Auro Michele Perego, Edson Porto da Silva, Francesco Da Ros, Darko Zibar:
Dual polarization nonlinear Fourier transform-based optical communication system. CoRR abs/1802.10023 (2018) - [i5]Francesco Musumeci, Cristina Rottondi, Avishek Nag, Irene Macaluso, Darko Zibar, Marco Ruffini, Massimo Tornatore:
A Survey on Application of Machine Learning Techniques in Optical Networks. CoRR abs/1803.07976 (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
- [j5]Miu Yoong Leong, Knud J. Larsen, Gunnar Jacobsen, Darko Zibar, Sergey V. Sergeyev, Sergei Popov:
Low-complexity BCH codes with optimized interleavers for DQPSK systems with laser phase noise. Photonic Netw. Commun. 33(3): 328-333 (2017) - [c31]Júlio César Medeiros Diniz, Francesco Da Ros, Rasmus Thomas Jones, Darko Zibar:
Time Skew Estimator for Dual-Polarization QAM Transmitters. ECOC 2017: 1-3 - [c30]Simone Gaiarin, Auro Michele Perego, Edson Porto da Silva, Francesco Da Ros, Darko Zibar:
Experimental Demonstration of Dual Polarization Nonlinear Frequency Division Multiplexed Optical Transmission System. ECOC 2017: 1-3 - [c29]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 - [c28]Metodi P. Yankov, Luca Barletta, Darko Zibar:
Low-complexity Joint Sub-carrier Phase Noise Compensation for Digital Multi-carrier Systems. ECOC 2017: 1-3 - [c27]Darko Zibar, Jesper Wass, Jakob Thrane, Molly Piels:
Machine learning techniques for optical communication system optimization. ICTON 2017: 1 - [c26]Darko Zibar, Stefan Werzinger, Bernhard Schmauss:
Sub-spatial resolution position estimation for optical fibre sensing applications. IEEE SENSORS 2017: 1-3 - [c25]Júlio César Medeiros Diniz, Molly Piels, Darko Zibar:
Performance evaluation of clock recovery for coherent mode division multiplexed systems. OFC 2017: 1-3 - [c24]Aditya Kakkar, Jaime Rodrigo Navarro, Richard Schatz, Xiaodan Pang, Oskars Ozolins, Fredrik Nordwall, Darko Zibar, Gunnar Jacobsen, Sergei Popov:
Influence of lasers with non-white frequency noise on the design of coherent optical links. OFC 2017: 1-3 - [c23]Xiaodan Pang, Shi Jia, Oskars Ozolins, Xianbin Yu, Hao Hu, Leonardo Marcon, Pengyu Guan, Francesco Da Ros, Sergei Popov, Gunnar Jacobsen, Michael Galili, Toshio Morioka, Darko Zibar, Leif Katsuo Oxenløwe:
Single channel 106 Gbit/s 16QAM wireless transmission in the 0.4 THz band. OFC 2017: 1-3 - [c22]Molly Piels, Darko Zibar:
Compact spectrometer based on a silicon multimode waveguide. OFC 2017: 1-3 - [c21]Molly Piels, Darko Zibar:
Super-resolution spectral reconstruction for DWDM channel monitoring. OFC 2017: 1-3 - [c20]Jesper Wass, Jakob Thrane, Molly Piels, Rasmus T. Jones, Darko Zibar:
Gaussian process regression for WDM system performance prediction. OFC 2017: 1-3 - [c19]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]Simone Gaiarin, Auro Michele Perego, Edson Porto da Silva, Francesco Da Ros, Darko Zibar:
Experimental Demonstration of Dual Polarization Nonlinear Frequency Division Multiplexed Optical Transmission System. CoRR abs/1708.00350 (2017) - 2016
- [c18]Francesco Da Ros, Edson Porto da Silva, Darko Zibar, Sai T. Chu, Brent E. Little, Roberto Morandotti, Michael Galili, David J. Moss, Leif K. Oxenløwe:
Low-penalty up to 16-QAM wavelength conversion in a low loss CMOS compatible spiral waveguide. OFC 2016: 1-3 - [c17]Edson Porto da Silva, Francesco Da Ros, Darko Zibar:
Performance of multi-channel DBP with long-haul frequency-referenced transmission. OFC 2016: 1-3 - [c16]Darko Zibar, Jakob Thrane, Jesper Wass, Rasmus T. Jones, Molly Piels, Christian G. Schaeffer:
Machine learning techniques applied to system characterization and equalization. OFC 2016: 1-3 - [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
- [j4]Bomin Li, Knud J. Larsen, Darko Zibar, Idelfonso Tafur Monroy:
Reconfigurable Forward Error Correction Decoder for Beyond 100 Gbps High Speed Optical Links. IEEE Commun. Lett. 19(2): 119-122 (2015) - [c15]José Estarán, Miquel A. Mestre, Philippe Jennevé, Haïk Mardoyan, Idelfonso Tafur Monroy, Darko Zibar, Sébastien Bigo:
Coherent optical orthogonal frequency-division multiplexing for optical slot switched intra-datacenters networks. ECOC 2015: 1-3 - [c14]Jaime Rodrigo Navarro, Miguel Iglesias Olmedo, Aditya Kakkar, Xiaodan Pang, Oskars Ozolins, Richard Schatz, Gunnar Jacobsen, Sergei Popov, Darko Zibar:
Phase noise tolerant carrier recovery scheme for 28 Gbaud circular 16QAM. ECOC 2015: 1-3 - [c13]Darko Zibar, Molly Piels, R. Jones, Christian G. Schaeffer:
Machine learning techniques in optical communication. ECOC 2015: 1-3 - [c12]Miguel Iglesias Olmedo, Xiaodan Pang, Molly Piels, Richard Schatz, Gunnar Jacobsen, Sergei Popov, Idelfonso Tafur Monroy, Darko Zibar:
Carrier recovery techniques for semiconductor laser frequency noise for 28 Gbd DP-16QAM. OFC 2015: 1-3 - [c11]Molly Piels, Miguel Iglesias Olmedo, Xiaodan Pang, Richard Schatz, Gunnar Jacobsen, Sergei Popov, Darko Zibar:
Rate equation-based phase recovery for semiconductor laser coherent transmitters. OFC 2015: 1-3 - [c10]Molly Piels, Weiqi Xue, Christian G. Schaeffer, Yi Yu, Elizaveta Semenova, Luisa Ottaviano, Kresten Yvind, Idelfonso Tafur Monroy, Jesper Mørk, Darko Zibar:
Highly sensitive photonic crystal cavity laser noise measurements using Bayesian filtering. OFC 2015: 1-3 - 2014
- [j3]Robert Borkowski, Darko Zibar, Idelfonso Tafur Monroy:
Anatomy of a Digital Coherent Receiver. IEICE Trans. Commun. 97-B(8): 1528-1536 (2014) - [j2]Valeria Arlunno, Antonio Caballero, Robert Borkowski, Silvia Saldaña Cercós, Darko Zibar, Knud J. Larsen, Idelfonso Tafur Monroy:
Turbo Equalization Techniques Toward Robust PDM 16-QAM Optical Fiber Transmission. JOCN 6(2): 204-214 (2014) - [c9]Robert Borkowski, Antonio Caballero, Valeria Arlunno, Darko Zibar, Idelfonso Tafur Monroy:
Robust cognitive-GN BER estimator for dynamic WDM networks. ECOC 2014: 1-3 - [c8]Molly Piels, Edson Porto da Silva, José Estarán, Robert Borkowski, Darko Zibar, Idelfonso Tafur Monroy:
DSP-based focusing over optical fiber using time reversal. ECOC 2014: 1-3 - [c7]Darko Zibar, Luis Henrique Hecker de Carvalho, Molly Piels, Andy Doberstein, Júlio C. M. Diniz, B. Nebendahl, Carolina Franciscangelis, José Estarán, H. Haisch, Neil Guerrero González, Juliano R. F. Oliveira, Idelfonso Tafur Monroy:
Bayesian filtering for phase noise characterization and carrier synchronization of up to 192 Gb/s PDM 64-QAM. ECOC 2014: 1-3 - [c6]Darko Zibar, Ole Winther, Robert Borkowski, Idelfonso Tafur Monroy, Luis Henrique Hecker de Carvalho, Júlio Oliveira:
Applications of expectation maximization algorithm for coherent optical communication. EUSIPCO 2014: 1890-1894 - [c5]Robert Borkowski, Antonio Caballero, Dimitrios Klonidis, Christoforos Kachris, Antonio Francescon, Ignacio de Miguel, Ramón J. Durán, Darko Zibar, Ioannis Tomkos, Idelfonso Tafur Monroy:
Advanced modulation formats in cognitive optical networks: EU project CHRON demonstration. OFC 2014: 1-3 - [c4]José Estarán, Miguel Iglesias Olmedo, Darko Zibar, Xiaogeng Xu, Idelfonso Tafur Monroy:
First experimental demonstration of coherent CAP for 300-Gb/s metropolitan optical networks. OFC 2014: 1-3 - 2013
- [c3]Robert Borkowski, Darko Zibar, Antonio Caballero, Valeria Arlunno, Idelfonso Tafur Monroy:
Optical modulation format recognition in stokes space for digital coherent receivers. OFC/NFOEC 2013: 1-3 - [c2]Fotini Karinou, Robert Borkowski, Darko Zibar, Ioannis Roudas, Idelfonso Tafur Monroy:
Coherent 40 Gb/s SP-16QAM and 80 Gb/s PDM-16QAM in an optimal supercomputer optical switch fabric. OFC/NFOEC 2013: 1-3 - [c1]Juliano Oliveira, Antonio Caballero, Eduardo Magalhães, Uiara Moura, Robert Borkowski, Giovanni Curiel, Alberto T. Hirata, Luis Henrique Hecker de Carvalho, Edson Porto da Silva, Darko Zibar, Jose Maranhao, Idelfonso Tafur Monroy, Julio C. R. F. Oliveira:
Demonstration of EDFA cognitive gain control via GMPLS for mixed modulation formats in heterogeneous optical networks. OFC/NFOEC 2013: 1-3 - 2012
- [j1]Robert Borkowski, Fotini Karinou, Marianna Angelou, Valeria Arlunno, Darko Zibar, Dimitrios Klonidis, Neil Guerrero González, Antonio Caballero, Ioannis Tomkos, Idelfonso Tafur Monroy:
Experimental Study on OSNR Requirements for Spectrum-Flexible Optical Networks [Invited]. JOCN 4(11): B85-B93 (2012)
Coauthor Index
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