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Found 4 papers, 3 papers with code
Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks
The increasing relevance of resilience in wireless connectivity for Industry 4. 0 stems from the growing complexity and interconnectivity of industrial systems, where a single point of failure can disrupt the entire network, leading to significant downtime and productivity losses.
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
This proactive behavior of the network can be leveraged to sustain, for example, a specific quality of service requirement.
Explainable Artificial Intelligence (XAI)
Feature Engineering
Toward an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed information about the two captured datasets.
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities.
