8 citations · 26 across the 9 of their papers we have counts for
10 papers
Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective
Victor Shatov, Steffen Schieler, Charlotte Muth +11
The sixth-generation wireless communications (6G) is often labeled as "connected intelligence". Radio sensing, aligned with machine learning (ML) and artificial intelligence (AI),…
Wireless Propagation Parameter Estimation with Convolutional Neural Networks
Steffen Schieler, Sebastian Semper, Reiner Thomä
Wireless channel propagation parameter estimation forms the foundation of channel sounding, estimation, modeling, and sensing. This paper introduces a Deep Learning approach for jo…
Modeling Micro-Doppler Signature of Multi-Propeller Drones in Distributed ISAC
Heraldo Cesar Alves Costa, Saw J. Myint, Carsten Andrich +4
Integrated Sensing and Communication (ISAC) will be one key feature of future 6G networks, enabling simultaneous communication and radar sensing. The radar sensing geometry of ISAC…
BIRA: A Spherical Bistatic Radar Reflectivity Measurement System
Carsten Andrich, Tobias F. Nowack, Alexander Ihlow +8
The upcoming 6G mobile communication standard will offer a revolutionary new feature: Integrated sensing and communication (ISAC) reuses mobile communication signals to realize mul…
Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Utilizing deep learning (DL) techniques for radio-based positioning of user equipment (UE) through channel state information (CSI) fingerprints has demonstrated significant potenti…
Improving the Spatial Correlation Characteristics of Antenna Arrays using Linear Operators and Wide-band Modelling
Marc Miranda, Sebastian Semper, Michael Döbereiner +1
The analysis of wireless communication channels at the mmWave, sub-THz and THz bands gives rise to difficulties in the construction of antenna arrays due to the small maximum inter…
Deep Learning based Positioning with Multi-task Learning and Uncertainty-based Fusion
Anastasios Foliadis, Mario H. Castañeda, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been shown to improve the performance of several use cases for the fifth-generation (5G) New radio (NR) air interface. In this paper we investigate…
Enabling Mobility-Oriented JCAS in 6G Networks: An Architecture Proposal
Philipp Rosemann, Sanket Partani, Marc Miranda +14
Sensing plays a crucial role in autonomous and assisted vehicular driving, as well as in the operation of autonomous drones. The traditional segregation of communication and onboar…
Measurement Testbed for Radar and Emitter Localization of UAV at 3.75 GHz
Julia Beuster, Carsten Andrich, Michael Döbereiner +4
This paper presents an experimental measurement platform for the research and development of unmanned aerial vehicles (UAVs) localization algorithms using radio emission and reflec…
Reliable Deep Learning based Localization with CSI Fingerprints and Multiple Base Stations
Anastasios Foliadis, Mario H. Castañeda Garcia, Richard A. Stirling-Gallacher +1
Deep learning (DL) methods have been recently proposed for user equipment (UE) localization in wireless communication networks, based on the channel state information (CSI) between…