Leveraging Big Data Technologies for Practical Radio Frequency Fingerprinting Applications

Radio frequency fingerprinting is an emerging research field that made a big leap with the adoption of deep learning, and practicability issues became more of a focus, lately. Nevertheless, further research is necessary to adopt practical, real-world solutions. Big data technologies allow for enhanced collection, processing and analysis of vast amounts of data and are well established in many fields by now. In this paper, current challenges in the field as well as various considerations about how big data approaches can benefit radio frequency fingerprinting on the way to real-world applications are presented.