CARG AI4UAV: Detecting 5G-Enabled UAVs

Detection of UAS that communicate with 5G base station.

The project aims to develop the following capabilities:

Detecting and identifying UAS that use 5G/LTE control.
Obtaining UAS location information.
Real-time implementation of the system using 5G infrastructure and professional Graphical User Interface (GUI) for visualizing the detected objects on the map (situation awareness).

Milestones

Develop software and hardware architecture for the integrated system and complete the software design.
Simulations and Flight Data Collection
Integration and Tech Demonstrations

Publications

2024-01-01

Manuscripts

An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems

Published in arXiv preprint arXiv:2409.08472

by Kaza, K, Mehta, V, Azad, H, Bolic, M, Mantegh, I

An Intent Modeling and Inference Framework for Autonomous and Remotely Piloted Aerial Systems published in arXiv preprint arXiv:2409.08472.

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2021-09-22

Manuscripts

A Q-Learning-Based Resource Allocation for Downlink Non-Orthogonal Multiple Access Systems Considering QoS

Published in IEEE Access

by Zhai, Q., Bolic, M., Li, Y., Cheng, W., Liu, C.

As a technology that can accommodate more users and significantly improve spectral efficiency, non-orthogonal multiple access (NOMA) has attracted the attention of many scholars in recent years.

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