Joint Synchronization in Macro-Diversity Multi-Connectivity Networks. - Nick Schwarzenberg; Friedrich Burmeister; Albrecht Wolf; Norman Franchi; Gerhard P. Fettweis (VTC Fall, 2019)

Network under Control: Multi-Vehicle E2E Measurements for AI-based QoS Prediction. - Alexandros Palaios; Philipp Geuer; Jochen Fink; Daniel Fabian Külzer; Fabian Göttsch; Martin Kasparick 001; Daniel Schäufele; Rodrigo Hernangómez; Sanket Partani; Raja Sattiraju; Atul Kumar 005; Friedrich Burmeister; et al. (PIMRC, 2021)

Measuring Time-Varying Industrial Radio Channels for D2D Communications on AGVs. - Friedrich Burmeister; Nick Schwarzenberg; Tom Hößler; Gerhard P. Fettweis (WCNC, 2021)

Dealing With Fractional Sampling Time Offsets for Unsynchronized Mobile Channel Measurements. - Friedrich Burmeister; Richard Jacob; Andreas Traßl; Nick Schwarzenberg; Gerhard P. Fettweis (IEEE Wirel. Commun. Lett., 2021)

Quantifying the Impact of Localization Error on Indoor Channel Prediction Using REMs. - Friedrich Burmeister; Zhongju Li; Nick Schwarzenberg; Andreas Traßl; Richard Jacob; Gerhard P. Fettweis (GLOBECOM, 2022)

On Distributed Repetition Allocation for IEEE 802.11bd under Time-varying Channel Load Conditions. - Richard Jacob; Lingjie Ji; Nick Schwarzenberg; Friedrich Burmeister; Gerhard P. Fettweis (GLOBECOM, 2022)

Congestion-aware Packet Repetitions for IEEE 802.11bd-based Safety-critical V2V Communications. - Richard Jacob; Nick Schwarzenberg; Friedrich Burmeister; Gerhard P. Fettweis (ICC, 2022)

Data-Driven Channel Modeling for Industrial URLLC-Motivated PHY Investigations. - Friedrich Burmeister; Nick Schwarzenberg; Andreas Traßl; Richard Jacob; Gerhard P. Fettweis (WCNC, 2022)

Indoor Received Power Measurements Associated with Reference Transmitter Location using Wireless Sensor Network. - Ivo Bizon Franco de Almeida; Zhongju Li; Friedrich Burmeister (IEEE DataPort, 2022)

High-Resolution Radio Environment Map Data Set for Indoor Office Environment. - Friedrich Burmeister; Zhongju Li; Ivo Bizon (IEEE DataPort, 2022)

Deep Learning-Supported Kriging for Interpolation of High-Resolution Indoor REMs. - Friedrich Burmeister; Alexandros Palaios; Philipp Geuer; Anton Krause; Richard Jacob; Philipp Schulz; Gerhard P. Fettweis (EuCNC/6G Summit, 2023)

Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless Networks. - Anton Krause; Mohd Danish Khursheed; Philipp Schulz; Friedrich Burmeister; Gerhard P. Fettweis (GLOBECOM (Workshops), 2023)

Improving Radio Environment Maps with Joint Communications and Sensing: An Outlook. - Anton Krause; Philipp Schulz; Friedrich Burmeister; Gerhard P. Fettweis (JC&S, 2023)

Channel-Aware Multi-User Resource Allocation for Ultra-Reliable Low-Latency Communications. - Nick Schwarzenberg; Andreas Traßl; Friedrich Burmeister; Richard Jacob; Gerhard P. Fettweis (PIMRC, 2023)

Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies. - Rodrigo Hernangómez; Philipp Geuer; Alexandros Palaios; Daniel Schäufele; Cara Watermann; Khawla Taleb-Bouhemadi; Mohammad Parvini; Anton Krause; Sanket Partani; Christian Vielhaus; Martin Kasparick 001; Daniel Fabian Külzer; et al. (VTC2023-Spring, 2023)

Berlin V2X. - Rodrigo Hernangómez; Philipp Geuer; Alexandros Palaios; Daniel Schäufele; Cara Watermann; Khawla Taleb-Bouhemadi; Mohammad Parvini; Anton Krause; Sanket Partani; Christian Vielhaus; Martin Kasparick 001; Daniel Fabian Külzer; et al. (IEEE DataPort, 2023)

Data Set for Time-Varying Industrial Radio Channels in Varying Environment. - Friedrich Burmeister; Nick Schwarzenberg (IEEE DataPort, 2023)

Recovering High-Resolution Fading Patterns from Sparsely Sampled Indoor REMs. - Friedrich Burmeister; Anton Krause; Philipp Schulz; Gerhard P. Fettweis (VTC Spring, 2024)

REM-Based Trajectory Optimization for Proactive Communications Reliability of Indoor Robotics. - Friedrich Burmeister; Nick Schwarzenberg; Philipp Schulz; Anton Krause; Richard Jacob; Gerhard P. Fettweis (WCNC, 2024)

Wireless Channel Prediction via Gaussian Mixture Models. - Nurettin Turan; Benedikt Böck; Kai-Jie Chan; Benedikt Fesl; Friedrich Burmeister; Michael Joham; Gerhard P. Fettweis; Wolfgang Utschick (WSA, 2024)

Leveraging the Digital Twin Channel for Spectrum Anomaly Detection: An Experimental Study. - Anton Schösser; Friedrich Burmeister; Philipp Schulz; Gerhard P. Fettweis (JC&S, 2025)

An Exhaustive Measurement Data Set for Time-Varying Radio Channels in a Running Industrial Factory. - Friedrich Burmeister; Nick Schwarzenberg; Robert Walstab; Frank von Schoettler; Eike Lyczkowski (IEEE DataPort, 2025)

Advancing Spectrum Anomaly Detection through Digital Twins. - Anton Schösser; Friedrich Burmeister; Philipp Schulz; Mohd Danish Khursheed; Sinuo Ma; Gerhard P. Fettweis (IEEE Commun. Mag., 2025)