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Found 5 papers, 0 papers with code
Signal Restoration and Channel Estimation for Channel Sounding with SDRs
Based on these considerations, in this work, a practical algorithm is devised to compensate for the drawbacks of using SDRs for channel sounding encountered in a concrete setup.
A Machine Learning Method for Prediction of Multipath Channels
In this paper, a machine learning method for predicting the evolution of a mobile communication channel based on a specific type of convolutional neural network is developed and evaluated in a simulated multipath transmission scenario.
A Machine-Learning Phase Classification Scheme for Anomaly Detection in Signals with Periodic Characteristics
In this paper we propose a novel machine-learning method for anomaly detection applicable to data with periodic characteristics where randomly varying period lengths are explicitly allowed.
Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Matrix Profiles perform well with almost no parameterisation needed.
An AI-driven Malfunction Detection Concept for NFV Instances in 5G
Efficient network management is one of the key challenges of the constantly growing and increasingly complex wide area networks (WAN).
