150 citations · 864 across the 60 of their papers we have counts for
65 papers
Fully Distributed Fiber-Optic Sensing Enabled by Kalman Filtering
Juan M. Marin, Roman Ermakov, Florian Azendorf +3
Signal fading creates points along the fiber where phase cannot be extracted, so they are conventionally discarded. Instead, we propose a Kalman-based solution for ϕ-OTDR full-fibe…
Beyond white- and black-box modeling tools in optical communications and optical computing: physics-informed data-driven modeling
Isidora Teofilovic, Sergio Hernandez Fernandez, Metodi P. Yankov +3
Efficient optimization and control of photonic computing and communication systems increasingly rely on accurate surrogate models/digital twins. While data-driven models may achiev…
Optimization of CV-QKD Under Practical Constraints
Svitlana Matsenko, Amirhossein Ghazisaeidi, Marcin Jarzyna +2
Using reinforcement learning, we optimize for practical hardware constraints, including limited FIR filter taps at the transmitter and receiver, mean photon number and finite DAC/A…
Experimental End-to-End Optimization of Directly Modulated Laser-based IM/DD Transmission
Sergio Hernandez, Christophe Peucheret, Francesco Da Ros +1
Directly modulated lasers (DMLs) are an attractive technology for short-reach intensity modulation and direct detection communication systems. However, their complex nonlinear dyna…
Quantum Noise Limited Temperature-Change Estimation for Phase-OTDR Employing Coherent Detection
Huwei Wang, Roman Ermakov, Francesco Da Ros +1
The quantum limit is a fundamental lower bound on the uncertainty when estimating a parameter in a system dominated by the minimum amount of noise (quantum noise). For the first ti…
Low-Complexity Event Detection and Identification in Coherent Correlation OTDR Measurements
Jasper Müller, Ognjen Jovanovic, Florian Azendorf +7
Pairing coherent correlation OTDR with low-complexity analysis methods, we investigate the detection of fast temperature changes and vibrations in optical fibers. A localization ac…
Experimental Demonstration of End-to-End Optimization for Directly Modulated Laser-based IM/DD Systems
Sergio Hernandez, Christophe Peucheret, Francesco Da Ros +1
We experimentally demonstrate the joint optimization of transmitter and receiver parameters in directly modulated laser systems, showing superior performance compared to nonlinear…
Blind Equalization using a Variational Autoencoder with Second Order Volterra Channel Model
Søren Føns Nielsen, Darko Zibar, Mikkel N. Schmidt
Existing communication hardware is being exerted to its limits to accommodate for the ever increasing internet usage globally. This leads to non-linear distortion in the communicat…
Phase Noise Characterization of Cr:ZnS Frequency Comb using Subspace Tracking
Aleksandr Razumov, Sergey Vasilyev, Mike Mirov +4
We present a comprehensive phase noise characterization of a mid-IR Cr:ZnS frequency comb. Despite their emergence as a platform for high-resolution dual-comb spectroscopy, detaile…
End-to-End Learning of Transmitter and Receiver Filters in Bandwidth Limited Fiber Optic Communication Systems
Søren Føns Nielsen, Francesco Da Ros, Mikkel N. Schmidt +1
This paper investigates the application of end-to-end (E2E) learning for joint optimization of pulse-shaper and receiver filter to reduce intersymbol interference (ISI) in bandwidt…
Multi-task Photonic Reservoir Computing: Wavelength Division Multiplexing for Parallel Computing with a Silicon Microring Resonator
Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar +1
Nowadays, as the ever-increasing demand for more powerful computing resources continues, alternative advanced computing paradigms are under extensive investigation. Significant eff…
End-to-End Learning of Pulse-Shaper and Receiver Filter in the Presence of Strong Intersymbol Interference
Søren Føns Nielsen, Francesco Da Ros, Mikkel N. Schmidt +1
We numerically demonstrate that joint optimization of FIR based pulse-shaper and receiver filter results in an improved system performance, and shorter filter lengths (lower comple…
End-to-End Optimization of Directly Modulated Laser Links using Chirp-Aware Modeling
Sergio Hernandez F., Christophe Peucheret, Francesco Da Ros +1
The rate and reach of directly-modulated laser links is often limited by the interplay between chirp and fiber chromatic dispersion. We address this by optimizing the transmitter,…
End-to-end Optimization of Optical Communication Systems based on Directly Modulated Lasers
Sergio Hernandez F., Christophe Peucheret, Francesco Da Ros +1
The use of directly modulated lasers (DMLs) is attractive in low-power, cost-constrained short-reach optical links. However, their limited modulation bandwidth can induce waveform…
BICM-compatible Rate Adaptive Geometric Constellation Shaping Using Optimized Many-to-one Labeling
Metodi Plamenov Yankov, Smaranika Swain, Ognjen Jovanovic +2
In this paper, a rate adaptive geometric constellation shaping (GCS) scheme which is fully backward-compatible with existing state of the art bit-interleaved coded modulation (BICM…
Generation of electro-optic frequency combs with optimized flatness in a silicon ring resonator modulator
Erwan Weckenmann, Thyago Monteiro, Uiara Celine de Moura +9
The flatness of electro-optic frequency combs (EOFCs) generated in a single silicon ring resonator modulator (RRM) is optimized by employing harmonic superposition of the radio-fre…
Multi-Task Wavelength-Multiplexed Reservoir Computing Using a Silicon Microring Resonator
Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar +1
Among the promising advantages of photonic computing over conventional computing architectures is the potential to increase computing efficiency through massive parallelism by usin…
Effects of cavity nonlinearities and linear losses on silicon microring-based reservoir computing
Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar +1
Microring resonators (MRRs) are promising devices for time-delay photonic reservoir computing, but the impact of the different physical effects taking place in the MRRs on the rese…
A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization
Metodi P. Yankov, Mehran Soltani, Andrea Carena +2
Designing and optimizing optical amplifiers to maximize system performance is becoming increasingly important as optical communication systems strive to increase throughput. Offlin…
Differentiable Machine Learning-Based Modeling for Directly-Modulated Lasers
Sergio Hernandez, Ognjen Jovanovic, Christophe Peucheret +2
End-to-end learning has become a popular method for joint transmitter and receiver optimization in optical communication systems. Such approach may require a differentiable channel…
Low-complexity Samples versus Symbols-based Neural Network Receiver for Channel Equalization
Yevhenii Osadchuk, Ognjen Jovanovic, Stenio M. Ranzini +4
Low-complexity neural networks (NNs) have successfully been applied for digital signal processing (DSP) in short-reach intensity-modulated directly detected optical links, where ch…
Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning
Ali Cem, Ognjen Jovanovic, Siqi Yan +3
We present and experimentally evaluate using transfer learning to address experimental data scarcity when training neural network (NN) models for Mach-Zehnder interferometer mesh-b…
Rate Adaptive Geometric Constellation Shaping Using Autoencoders and Many-To-One Mapping
Metodi P. Yankov, Ognjen Jovanovic, Darko Zibar +1
A many-to-one mapping geometric constellation shaping scheme is proposed with a fixed modulation format, fixed FEC engine and rate adaptation with an arbitrarily small step. An aut…
Impact of Free-carrier Nonlinearities on Silicon Microring-based Reservoir Computing
Bernard J. Giron Castro, Christophe Peucheret, Darko Zibar +1
We quantify the impact of thermo-optic and free-carrier effects on time-delay reservoir computing using a silicon microring resonator. We identify pump power and frequency detuning…