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 …
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
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 …
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 …
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 …
management and the objective of data driven spectrum policy. We explore four issues …
Utilizing Confidence in Localization Predictions for Improved Spectrum Management
Transmitter localization is an important component of next-gen spectrum sharing and
management systems. Recently, machine learning (ML) methods have shown promising …
management systems. Recently, machine learning (ML) methods have shown promising …
PowDER-RDZ: Prototyping a Radio Dynamic Zone using the POWDER platform
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 …
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 …
will require fast and accurate channel estimation in order to guarantee varying signal-to …
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
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 …
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 …
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
Radio dynamic zones (RDZs) are geographical areas within which dedicated spectrum
resources are monitored and controlled to enable the development and testing of new …
resources are monitored and controlled to enable the development and testing of new …