Open Set Wireless Standard Classification Using Convolutional Neural Networks

A review of applications of supervised learning to future networks

“…Detection of 4G LTE/5G/Bluetooth & IoT signals in congested electromagnetic environments (EME) using a CNN open set classifier which adds an unknown class detection algorithm to detect signals from unknown classes (Shebert et al, 2021).…”

Open Set Wireless Signal Classification: Augmenting Deep Learning with Expert Feature Classifiers

“…The authors acknowledge Advanced Research Computing at Virginia Tech for providing computational resources that have contributed to the results reported within this paper, URL: https://arc.vt.edu/. Portions of this paper were presented at GLOBECOM 2021 [1], MILCOM 2021 [2], and MILCOM 2022 [3]. classification problems and have high computational complexity.…”

“…In the context of deep learning classifiers, data from "known" classes are In this paper, we propose an open set CNN-based wireless standard classifier that uses a modified version of the unknown class detector originally developed for text classification by the authors in [32] [3] by introducing expert feature classifiers and considering signal detection and isolation. Specifically, the deep learning feature preprocessing method from [1], the open set unknown class detector from [2], and the co-frequency signal classification system from [3] were used in this paper. The new contributions are as follows:…”