Radio Frequency Fingerprinting: A Conceptual Study for Addressing Real-World Challenges

While radio frequency fingerprinting has attracted a lot of research interest, especially since the adoption of deep learning based approaches. However, the practicability of these approaches in real-world applications remains the greatest challenge. In this paper, a conceptual study for addressing these real-world challenges is presented. Potential applications and requirements of practical radio frequency fingerprinting systems are proposed. Concepts for addressing individual practicability issues individually are reviewed, and a concept for addressing them simultaneously is derived. Finally, conclusions from the study are drawn, and a look at the future work in the field of radio frequency fingerprinting is presented.

Authors

Institutions

Publication Details

Published
2024-12-03
DOI
https://doi.org/10.1109/vcc63113.2024.10914380
Citations
2
Primary Topic
Wireless Signal Modulation Classification
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radio Frequency Fingerprinting: A Conceptual Study for Addressing Real-World Challenges

Wolfgang Dorner, Stefan Kunze
2 citations
Wireless Signal Modulation Classification
0.69
article

Radio Frequency Fingerprinting: A Conceptual Study for Addressing Real-World Challenges

Wolfgang Dorner, Stefan Kunze
article en
2 citations

Abstract

While radio frequency fingerprinting has attracted a lot of research interest, especially since the adoption of deep learning based approaches. However, the practicability of these approaches in real-world applications remains the greatest challenge. In this paper, a conceptual study for addressing these real-world challenges is presented. Potential applications and requirements of practical radio frequency fingerprinting systems are proposed. Concepts for addressing individual practicability issues individually are reviewed, and a concept for addressing them simultaneously is derived. Finally, conclusions from the study are drawn, and a look at the future work in the field of radio frequency fingerprinting is presented.

Deggendorf Institute of Technology (DE)
Climate action
Openalex Percentile: Top 22%
Wireless Signal Modulation Classification
0.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.