154 citations · 445 across the 69 of their papers we have counts for
6 papers · 1 filter
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
Vojtech Halenka, Mohammadreza Amini, Per-Arne Andersen +2
All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to support mission-critical services in mobility, automation, and connected inte…
DT-DDNN: A Physical Layer Security Attack Detector in 5G RF Domain for CAVs
Ghazal Asemian, Mohammadreza Amini, Burak Kantarci +1
The Synchronization Signal Block (SSB) is a fundamental component of the 5G New Radio (NR) air interface, crucial for the initial access procedure of Connected and Automated Vehicl…
Deep Dict: Deep Learning-based Lossy Time Series Compressor for IoT Data
Jinxin Liu, Petar Djukic, Michel Kulhandjian +1
We propose Deep Dict, a deep learning-based lossy time series compressor designed to achieve a high compression ratio while maintaining decompression error within a predefined rang…
On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels
Omer Melih Gul, Michel Kulhandjian, Burak Kantarci +3
Cyber-physical systems have recently been used in several areas (such as connected and autonomous vehicles) due to their high maneuverability. On the other hand, they are susceptib…
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data
Nima Taherifard, Murat Simsek, Charles Lascelles +1
Precision in event characterization in connected vehicles has become increasingly important with the responsive connectivity that is available to the modern vehicles. Event charact…
A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors
Qingbei Guo, Yuan Zhang, Jaime Lloretz +2
Localization is a fundamental function in cooperative control of micro unmanned aerial vehicles (UAVs), but is easily affected by flip ambiguities because of measurement errors and…