Feature Extraction Approaches to RF Fingerprinting for Device Identification in Femtocells
jusung
The problem of signaling storms caused by increased core network signaling load due to idle mode cell camping on femtocells is addressed and a novel approach to RF fingerprinting is proposed as a solution to tackle this problem by identifying device model types. This study also presents a novel feature extraction technique, which greatly improves identification accuracy over standard spectral approaches while limiting the number of random access channel (RACH) preambles required for identification. Accuracy of 99.8 percent was achieved. Importantly, the proposed technique can be implemented using today’s low cost high-volume receivers and requires no manual performance tuning.
