no code implementations • 23 May 2022 • Julian Ahrens, Lia Ahrens, Michael Zentarra, Hans D. Schotten
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.
no code implementations • 10 Sep 2019 • Julian Ahrens, Lia Ahrens, Hans D. Schotten
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.
no code implementations • 29 Nov 2018 • Lia Ahrens, Julian Ahrens, Hans D. Schotten
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.
no code implementations • 20 Sep 2018 • Simon Duque Anton, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten
Matrix Profiles perform well with almost no parameterisation needed.
no code implementations • 16 Apr 2018 • Julian Ahrens, Mathias Strufe, Lia Ahrens, Hans D. Schotten
Efficient network management is one of the key challenges of the constantly growing and increasingly complex wide area networks (WAN).