150 citations · 875 across the 67 of their papers we have counts for
14 papers · 1 filter
Wavelength-multiplexed Delayed Inputs for Memory Enhancement of Microring-based Reservoir Computing
Bernard J. Giron Castro, Christophe Peucheret, Francesco Da Ros
We numerically demonstrate a silicon add-drop microring-based reservoir computing scheme that combines parallel delayed inputs and wavelength division multiplexing. The scheme solv…
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…
Data-Driven Modeling of Directly-Modulated Lasers
Sergio Hernandez Fernandez, Christophe Peucheret, Ognjen Jovanovic +2
The end-to-end optimization of links based on directly-modulated lasers may require an analytically differentiable channel. We overcome this problem by developing and comparing dif…
Subspace tracking for independent phase noise source separation in frequency combs
Aleksandr Razumov, Holger R. Heebøll, Mario Dummont +8
Advanced digital signal processing techniques in combination with ultra-wideband balanced coherent detection have enabled a new generation of ultra-high speed fiber-optic communica…
Rate Adaptive Autoencoder-based Geometric Constellation Shaping
Ognjen Jovanovic, Metodi P. Yankov, Francesco Da Ros +1
An autoencoder is used to optimize bit-to-symbol mappings for geometric constellation shaping. The mappings allow for net rate adaptivity without additional hardware complexity, wh…