106 citations · 285 across the 19 of their papers we have counts for
4 papers · 1 filter
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
Rodrigo Hernangómez, Philipp Geuer, Alexandros Palaios +14
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 fr…
Machine Learning-based Methods for Reconfigurable Antenna Mode Selection in MIMO Systems
Yasaman Abdollahian, Ehsan Tohidi, Martin Kasparick +3
MIMO technology has enabled spatial multiple access and has provided a higher system spectral efficiency (SE). However, this technology has some drawbacks, such as the high number…
MIMO Systems with Reconfigurable Antennas: Joint Channel Estimation and Mode Selection
Fariba Armandoust, Ehsan Tohidi, Martin Kasparick +3
Reconfigurable antennas (RAs) are a promising technology to enhance the capacity and coverage of wireless communication systems. However, RA systems have two major challenges: (i)…
GPU-accelerated partially linear multiuser detection for 5G and beyond URLLC systems
Matthias Mehlhose, Guillermo Marcus, Daniel Schäufele +6
In this feasibility study, we have implemented a recently proposed partially linear multiuser detection algorithm in reproducing kernel Hilbert spaces (RKHSs) on a GPU-accelerated…