A survey on deep learning techniques in wireless signal recognition

X Li, F Dong, S Zhang, W Guo - Wireless Communications and …, 2019 - Wiley Online Library
Wireless signal recognition plays an important role in cognitive radio, which promises a
broad prospect in spectrum monitoring and management with the coming applications for …

Cellular signal identification using convolutional neural networks: AWGN and Rayleigh fading channels

H Xia, K Alshathri, VB Lawrence… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
Spectrum awareness is crucial in wireless communications systems for dynamic network
environments. It is required for spectrum resource management, adaptive transmissions …

Identification of cellular signal measurements using machine learning

EA Makled, I Al-Nahhal, OA Dobre… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Spectrum awareness has a plethora of civilian and defense applications, such as spectrum
resource management, adaptive transmissions, interference detection, and identification of …

[PDF][PDF] Comparison among cognitive radio architectures for spectrum sensing

L Bixio, M Ottonello, M Raffetto… - EURASIP Journal on …, 2011 - Springer
Recently, the growing success of new wireless applications and services has led to
overcrowded licensed bands, inducing the governmental regulatory agencies to consider …

Wireless standard classification using convolutional neural networks

SR Shebert, AF Martone… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
The growing prominence of spectrum sharing technologies has spurred interest in spectrum
monitoring technologies with the ability to identify unknown wireless signals. This paper …

Open set wireless standard classification using convolutional neural networks

SR Shebert, AF Martone… - MILCOM 2021-2021 IEEE …, 2021 - ieeexplore.ieee.org
In congested electromagnetic environments, cognitive radios require knowledge about other
emitters in order to optimize their dynamic spectrum access strategy. Deep learning …

Neuro-fuzzy signal classifier (NFSC) for standard wireless technologies

K Ahmad, G Shresta, U Meier… - 2010 7th International …, 2010 - ieeexplore.ieee.org
Optimizing the coexistence performance of a cognitive radio (CR) greatly depends on the
extent of its awareness of the radio environment. The more knowledge a CR can acquire …

Identification of Cellular Measurements: A Neural Network Approach

EA Makled, I Al-Nahhal, OA Dobre… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The efficient utilization of the wireless spectrum is essential to fulfill the rising demand of
scarce bandwidth resources. Identifying the cellular signal types occupying the spectrum …

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

SR Shebert, BH Kirk, RM Buehrer - arXiv preprint arXiv:2302.03749, 2023 - arxiv.org
In shared spectrum with multiple radio access technologies, wireless standard classification
is vital for applications such as dynamic spectrum access (DSA) and wideband spectrum …

ML and DL Approaches for Intelligent Wireless Sensor Networks

B Chander - Machine Learning and Deep Learning Techniques in …, 2021 - taylorfrancis.com
Wireless sensor network (WSN) designed with low-powered sensor which can sense,
communicate, and process. However, sensors inhibited with diminutive processing capacity …