164 citations · 287 across the 13 of their papers we have counts for
23 papers
Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge
Jakob Thrane, Benjamin Sliwa, Christian Wietfeld +1
Methods for accurate prediction of radio signal quality parameters are crucial for optimization of mobile networks, and a necessity for future autonomous driving solutions. The pow…
The Best of Both Worlds: Hybrid Data-Driven and Model-Based Vehicular Network Simulation
Benjamin Sliwa, Manuel Patchou, Christian Wietfeld
The analysis of the end-to-end behavior of novel mobile communication methods in concrete evaluation scenarios frequently results in a methodological dilemma: Real world measuremen…
Acting Selfish for the Good of All: Contextual Bandits for Resource-Efficient Transmission of Vehicular Sensor Data
Benjamin Sliwa, Rick Adam, Christian Wietfeld
as a novel client-based method for resource-efficient opportunistic transmission of delay-tolerant vehicular sensor data. BS-CB applies a hybrid approach which brings together all…
White Paper on Critical and Massive Machine Type Communication Towards 6G
Nurul Huda Mahmood, Stefan Böcker, Andrea Munari +28
The society as a whole, and many vertical sectors in particular, is becoming increasingly digitalized. Machine Type Communication (MTC), encompassing its massive and critical aspec…
6G White Paper on Machine Learning in Wireless Communication Networks
Samad Ali, Walid Saad, Nandana Rajatheva +24
The focus of this white paper is on machine learning (ML) in wireless communications. 6G wireless communication networks will be the backbone of the digital transformation of socie…
The Channel as a Traffic Sensor: Vehicle Detection and Classification based on Radio Fingerprinting
Benjamin Sliwa, Niko Piatkowski, Christian Wietfeld
Ubiquitously deployed Internet of Things (IoT)- based automatic vehicle classification systems will catalyze data-driven traffic flow optimization in future smart cities and will t…