9 papers
Deep Learning Based Active Spatial Channel Gain Prediction Using a Swarm of Unmanned Aerial Vehicles
Enes Krijestorac, Danijela Cabric
Prediction of wireless channel gain (CG) across space is a necessary tool for many important wireless network design problems. In this paper, we develop prediction methods that use…
REM-U-net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case
Hazem Sallouha, Shamik Sarkar, Enes Krijestorac +1
Radio environment maps (REMs) hold a central role in optimizing wireless network deployment, enhancing network performance, and ensuring effective spectrum management. Conventional…
UAV Swarm Position Optimization for High Capacity MIMO Backhaul
Samer Hanna, Enes Krijestorac, Danijela Cabric
A swarm of cooperating UAVs communicating with a distant multiantenna ground station can leverage MIMO spatial multiplexing to scale the capacity. Due to the line-of-sight propagat…
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…