Automated spectrum analytics inform critical decisions in dynamic spectrum access
networks such as (i) how to allocate network resources to clients,(ii) when to enforce …

Due to the sheer scale of the Internet of Things (IoT) and 5G, the wireless spectrum is
becoming severely congested. For this reason, wireless devices will need to continuously …

In emerging and future shared-spectrum wireless networks like Citizens Broadband Radio
Service (CBRS), the ability to detect radar signals without assistance from the radar …

Understanding spectrum characteristics with little prior knowledge requires fine-grained
spectrum data in the frequency, spatial, and temporal domains; gathering such a diverse set …

Traffic recognition is commonly done using deep packet inspection or packet‐based
approaches. However, these methods require the listening device to be part of the network …

Wireless systems are an integral part of aviation. Apart from their apparent use in air-to-
ground communication, wireless systems play a crucial role in avionic functions including …

Accurate and objective mutual awareness between coexisting technologies is the root of
trust for future spectrum sharing. Despite this, our ability for unsupervised detection of …

Spectrum crowdsensing systems do not provide labeled data near real-time yet. We propose
a framework that addresses this challenge and relies solely on Power Spectrum Density …

We are entering the era of the fifth generation of wireless networks, which promises
connectivity for various emerging bandwidth-demanding applications such as virtual reality …

The ability to dynamically navigate and analyze significant spectral features is a desirable
characteristic of cognitive radio networks, commonly referred to as dynamic spectrum access …