This paper provides an overview of the Platform for Open Wireless Data-driven Experimental
Research (POWDER). POWDER is a city-scale, remotely accessible, end-to-end software …

Recent advances in wireless technologies have led to several autonomous deployments of
such networks. As nodes across distributed networks must co-exist, it is important that all …

Hardware imperfections in RF transmitters introduce features that can be used to identify a
specific transmitter amongst others. Supervised deep learning has shown good performance …

Radio-frequency fingerprinting identification (RFFI), based on hardware inherent
imperfections, is an effective technique for physical authentication in the Internet of Things …

In this work we implement an automatic emitter identification system using three dimensional
convolutional neural networks (3D-CNN). We show that it is possible to leverage the short …

In the context of experimental research, testbeds play an important role in enabling
reproducibility of experiments, by providing a set of services that help experiments with …

COST INTERACT working group (WG) 1 aims at increasing the theoretical and experimental
understanding of radio propagation and channels in environments of interest and at deriving …

When designing their performance evaluations, networking researchers often encounter
questions such as: How long should a run be? How many runs to perform? How to account …

We introduce a robust neural network based method for classifying aircraft, using raw I/Q
data obtained from the Automatic Dependent Surveillance-Broadcast (ADS-B) data from …

The Internet of Things (IoT) is a significant branch of the ongoing advances in the Internet
and mobile communications. Yet, the use of a large number of IoT devices can severely …