Drone Detection and Tracking Using RF Identification Signals

D Aouladhadj, E Kpre, V Deniau, A Kharchouf… - Sensors, 2023 - mdpi.com
The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

A Physical Testbed and Open Dataset for Passive Sensing and Wireless Communication Spectrum Coexistence

AM Alam, MM Farhad, W Al-Qwider, A Owfi… - IEEE …, 2024 - ieeexplore.ieee.org
As next-generation communication services and satellite systems expand across diverse
frequency bands, there is a pressing need to use the spectrum as efficiently as possible. A …

Channel estimation via loss field: Accurate site-trained modeling for shadowing prediction

J Wang, MG Weldegebriel… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Future networks which share spectrum dynamically among groups of mobile users will
require fast and accurate channel estimation in order to guarantee signal-to-interference …

Towards Data-Driven Policies in Spectrum Management

K Doke, A Abedi, M Hollingsworth… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This position paper explores the gap between the current state-of-the-art in spectrum
management and the objective of data driven spectrum policy. We explore four issues …

Utilizing Confidence in Localization Predictions for Improved Spectrum Management

F Mitchell, J Wang, A Bhaskara… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Transmitter localization is an important component of next-gen spectrum sharing and
management systems. Recently, machine learning (ML) methods have shown promising …

PowDER-RDZ: Prototyping a Radio Dynamic Zone using the POWDER platform

D Johnson, D Maas, S Tadik, A Orange… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Radio Dynamic Zones (RDZs) are being explored by the research community as an
approach to safely test and evaluate spectrum sharing mechanisms and technologies. There …

Augmenting channel estimation via loss field: Site-trained Bayesian modeling and comparative analysis

J Wang, MG Weldegebriel, N Patwari - Computer Networks, 2024 - Elsevier
Future wireless networks that share spectrum dynamically among groups of mobile users
will require fast and accurate channel estimation in order to guarantee varying signal-to …

ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning

S Sarkar, D Guo, D Cabric - 2023 20th Annual IEEE …, 2023 - ieeexplore.ieee.org
Spatia1 prediction of the radio propagation environment (henceforth 'radio environment'for
brevity) of a transmitter can assist and improve various aspects of wireless networks. The …

Crescendo: Towards Wideband, Real-Time, High-Fidelity Spectrum Sensing Systems

R Subbaraman, K Mills, A Schulman… - Proceedings of the 29th …, 2023 - dl.acm.org
Spectrum sensing systems provide real-time feedback essential for spectrum sharing.
However, the growth of spectrum sharing is limited by the capabilities of these spectrum …

Kriging-Based 3-D Spectrum Awareness for Radio Dynamic Zones Using Aerial Spectrum Sensors

SJ Maeng, O Ozdemir, İ Güvenç… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Radio dynamic zones (RDZs) are geographical areas within which dedicated spectrum
resources are monitored and controlled to enable the development and testing of new …