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eess.SP2026

UAV-Based 3D Spectrum Sensing: Insights on Altitude, Bandwidth, Trajectory, and Effective Antenna Patterns on REM Reconstruction

Mushfiqur Rahman, Sung Joon Maeng, Ismail Guvenc +4

Spectrum sensing and the generation of 3D Radio Environment Maps (REMs) are essential for enabling spectrum sharing within cognitive radio networks. While Uncrewed Aerial Vehicles…

eess.SP2026

Real-World LoRaWAN Performance and Propagation Modeling Using UAV, Helikite, and Vehicle-Based Measurements

Sergio Vargas Villar, Simran Singh, Özgür Özdemir +2

This paper presents a field-based evaluation of Long Range Wide Area Network (LoRaWAN) signal propagation conducted at two locations within the Aerial Experimentation and Research…

eess.SP2026

Elevation- and Tilt-Aware Shadow Fading Correlation Modeling for UAV Communications

Mushfiqur Rahman, Ismail Guvenc, Mihail Sichitiu +4

Future wireless networks demand a more accurate understanding of channel behavior to enable efficient communication with reduced interference. Uncrewed Aerial Vehicles (UAVs) are p…

eess.SP2026

TransfoREM: Transformer aided 3D Radio Environment Mapping

Gautham Reddy, Ismail Guvenc, Mihail L. Sichitiu +3

Providing reliable cellular connectivity to Unmanned Aerial Vehicles (UAV) is a key challenge, as existing terrestrial networks are deployed mainly for ground-level coverage. The c…

eess.SP2025

Fusion of Cellular ISAC and Passive RF Sensing for UAV Detection and Tracking

Cole Dickerson, Sean Kearney, Sultan Manjur +5

The rapid growth of unmanned aerial vehicles (UAVs) in civilian and critical-infrastructure airspace has created a need for reliable detection and tracking systems that operate und…

eess.SP2025

UAV-Assisted Coverage Hole Detection Using Reinforcement Learning in Urban Cellular Networks

Mushfiqur Rahman, Ismail Guvenc, David Ramirez +1

Deployment of cellular networks in urban areas requires addressing various challenges. For example, high-rise buildings with varying geometrical shapes and heights contribute to si…