101 citations · 167 across the 8 of their papers we have counts for
4 papers · 1 filter
DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding
Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski +1
Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques. Very promising results in end-to-end image qual…
AirNet: Neural Network Transmission over the Air
Mikolaj Jankowski, Deniz Gunduz, Krystian Mikolajczyk
State-of-the-art performance for many edge applications is achieved by deep neural networks (DNNs). Often, these DNNs are location- and time-sensitive, and must be delivered over a…
LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training
Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski +3
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I) communication is a crucial yet challenging task due to the narrow mmWave beamwidth and high use…
Federated mmWave Beam Selection Utilizing LIDAR Data
Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung +2
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial yet challenging task due to the overhead imposed by beam selection. For vehicle-to-infra…