24 citations · 67 across the 13 of their papers we have counts for
8 papers · 1 filter
Deep Learning-Based Physical Layer Authentication Using 5G NR Sounding Reference Signals: A Temporal Generalization Study on Real Testbed Data
Sachinkumar B. Mallikarjun, Marvin Reski, Andreas Weinand +1
Physical Layer Authentication (PLA) exploits the spatial uniqueness of wireless channel characteristics in order to authenticate devices without recourse to higher-layer cryptograp…
Keep Private Networks Private II: Wideband Secret Key Generation on a Real 5G NR Testbed
Sachinkumar B. Mallikarjun, Christoph Lipps, Marvin Reski +3
Secret key generation (SKG) from wireless channel reciprocity has been demonstrated on WiFi, LTE, and LoRaWAN, but has never been demonstrated on 5G New Radio (NR) Sounding Referen…
Channel Estimation in C-V2X using Deep Learning
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Channel estimation forms one of the central component in current OFDM systems that aims to eliminate the inter-symbol interference by calculating the CSI using the pilot symbols an…
Link Level Performance Comparison of C-V2X and ITS-G5 for Vehicular Channel Models
Raja Sattiraju, Donglin Wang, Andreas Weinand +1
V2X communications plays a significant role in increasing traffic safety and efficiency by enabling vehicles to exchange their status information with other vehicles and traffic en…
Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios
Andreas Weinand, Raja Sattiraju, Michael Karrenbauer +1
PHYSEC based message authentication can, as an alternative to conventional security schemes, be applied within \gls{urllc} scenarios in order to meet the requirement of secure user…
AI-assisted PHY technologies for 6G and beyond wireless networks
Raja Sattiraju, Andreas Weinand, Hans D. Schotten
Machine Learning (ML) and Artificial Intelligence(AI) have become alternative approaches in wireless networksbeside conventional approaches such as model based solutionconcepts. Wh…