Search Results for author:
Found 6 papers, 1 papers with code
Digital Twin of Industrial Networked Control System based on Value of Information
The paper examines a scenario wherein sensors are deployed within an Industrial Networked Control System, aiming to construct a digital twin (DT) model for a remotely operated Autonomous Guided Vehicle (AGV).
Unsupervised Graph-based Learning Method for Sub-band Allocation in 6G Subnetworks
In this paper, we present an unsupervised approach for frequency sub-band allocation in wireless networks using graph-based learning.
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach
Interference management techniques such as centralized power control can improve spectral efficiency in dense deployments of such subnetworks.
Domain Adaptation: the Key Enabler of Neural Network Equalizers in Coherent Optical Systems
We introduce the domain adaptation and randomization approach for calibrating neural network-based equalizers for real transmissions, using synthetic data.
Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems
Transfer learning is proposed to adapt an NN-based nonlinear equalizer across different launch powers and modulation formats using a 450km TWC-fiber transmission.
Transfer Learning for Neural Networks-based Equalizers in Coherent Optical Systems
We evaluate the capability of transfer learning to adapt the NN to changes in the launch power, modulation format, symbol rate, or even fiber plants (different fiber types and lengths).
