19 citations · 35 across the 34 of their papers we have counts for
11 papers · 1 filter
Spatial Signal Strength Prediction using 3D Maps and Deep Learning
Enes Krijestorac, Samer Hanna, Danijela Cabric
Machine learning (ML) and artificial neural networks (ANNs) have been successfully applied to simulating complex physics by learning physics models thanks to large data. Inspired b…
Penetrating RF Fingerprinting-based Authentication with a Generative Adversarial Attack
Samurdhi Karunaratne, Enes Krijestorac, Danijela Cabric
Physical layer authentication relies on detecting unique imperfections in signals transmitted by radio devices to isolate their fingerprint. Recently, deep learning-based authentic…
Hybrid Vehicular and Cloud Distributed Computing: A Case for Cooperative Perception
Enes Krijestorac, Agon Memedi, Takamasa Higuchi +3
In this work, we propose the use of hybrid offloading of computing tasks simultaneously to edge servers (vertical offloading) via LTE communication and to nearby cars (horizontal o…
Band Assignment in Ultra-Narrowband (UNB) Systems for Massive IoT Access
Enes Krijestorac, Ghaith Hattab, Petar Popovski +1
In this work, we consider a novel type of Internet of Things (IoT) ultra-narrowband (UNB) network architecture that involves multiple multiplexing bands or channels for uplink tran…
mmRAPID: Machine Learning assisted Noncoherent Compressive Millimeter-Wave Beam Alignment
Han Yan, Benjamin W. Domae, Danijela Cabric
Millimeter-wave communication has the potential to deliver orders of magnitude increases in mobile data rates. A key design challenge is to enable rapid beam alignment with phased…
True-Time-Delay Arrays for Fast Beam Training in Wideband Millimeter-Wave Systems
Veljko Boljanovic, Han Yan, Chung-Ching Lin +4
The best beam steering directions are estimated through beam training, which is one of the most important and challenging tasks in millimeter-wave and sub-terahertz communications.…