Výsledky vyhledávání - "Burmeister, Friedrich"

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Wireless Channel Prediction via Gaussian Mixture Models

Autor: Turan, Nurettin, Böck, Benedikt, Chan, Kai Jie, Fesl, Benedikt, Burmeister, Friedrich, Joham, Michael, Fettweis, Gerhard, Utschick, Wolfgang

In this work, we utilize a Gaussian mixture model (GMM) to capture the underlying probability density function (PDF) of the channel trajectories of moving mobile terminals (MTs) within the coverage area of a base station (BS) in an offline phase. We

Externí odkaz: http://arxiv.org/abs/2402.08351

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Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks

Autor: Krause, Anton, Khursheed, Mohd Danish, Schulz, Philipp, Burmeister, Friedrich, Fettweis, Gerhard

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 dow

Externí odkaz: http://arxiv.org/abs/2308.06980

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Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies

Autor: Hernangómez, Rodrigo, Geuer, Philipp, Palaios, Alexandros, Schäufele, Daniel, Watermann, Cara, Taleb-Bouhemadi, Khawla, Parvini, Mohammad, Krause, Anton, Partani, Sanket, Vielhaus, Christian, Kasparick, Martin, Külzer, Daniel F., Burmeister, Friedrich, Fitzek, Frank H. P., Schotten, Hans D., Fettweis, Gerhard, Stańczak, Sławomir

The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities. These can enable proactive decisions and actions from wireless-network components to sustain quality-of-service (QoS) and

Externí odkaz: http://arxiv.org/abs/2212.10343

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