A comprehensive survey on radio frequency (RF) fingerprinting: Traditional approaches, deep learning, and open challenges

A Jagannath, J Jagannath, PSPV Kumar - Computer Networks, 2022 - Elsevier
Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …

Multi-task learning approach for modulation and wireless signal classification for 5G and beyond: Edge deployment via model compression

A Jagannath, J Jagannath - Physical Communication, 2022 - Elsevier
Future communication networks must address the scarce spectrum to accommodate
extensive growth of heterogeneous wireless devices. Efforts are underway to address …

Deep neural network goes lighter: a case study of deep compression techniques on automatic RF modulation recognition for beyond 5G networks

A Jagannath, J Jagannath, Y Wang… - Big Data IV: Learning …, 2022 - spiedigitallibrary.org
Automatic RF modulation recognition is a primary signal intelligence (SIGINT) technique that
serves as a physical layer authentication enabler and automated signal processing scheme …

[PDF][PDF] Physical Communication

A Jagannath, J Jagannath - 2022 - androcs.com
abstract Future communication networks must address the scarce spectrum to accommodate
extensive growth of heterogeneous wireless devices. Efforts are underway to address …

Neural Network Framework for Modulation and Signal Classification

S Kumar, AK Chandok, SK Vankayala… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
The advancements in wireless communications have catapulted the usage of wireless
technologies for plethora of use cases. This has led to large scale usage of different wireless …

Comparing Wireless Waveform Neural Networks

WS Hasty - 2022 - search.proquest.com
Communication is paramount for private enterprise, government functions, and anyone
trying to move information from one device to another. A multitask machine learning …

Waveform Detection and Classification Using Machine Learning

EJDT Sanchez - 2022 - search.proquest.com
The wide availability of devices transmitting in the radio frequency spectrum, along with the
required openness of the spectrum, presents a security problem to civilian and military …

Proactively Defending Wireless Communication Edge Devices: A Radio Frequency Anomaly Detection System

J Tutokey - 2021 - search.proquest.com
Edge network devices are low-power computers that interface wirelessly to the surrounding
environment. A smartphone is an example of a non-military network edge communication …

Multi-Task Radio Frequency Signal Classification with Convolutional Neural Networks

C Cook - 2021 - search.proquest.com
Signal classification is an increasingly important area of research; as more devices
communicate using signals, efficient spectrum management and security are essential …

Characterize Heterogeneous Waveforms to Optimize Spectrum Sharing Using a Machine Learning Model

J Chu - 2021 - search.proquest.com
Wireless communications take advantage of radio waves in the electromagnetic spectrum to
transmit and receive signals. Consequently, the spectrum wireless devices utilize is a limited …