3 papers
eess.SP2025
Spectrum Sensing with Deep Clustering: Label-Free Radio Access Technology Recognition
Ljupcho Milosheski, Mihael MohorÄiÄ, Carolina Fortuna
The growth of the number of connected devices and network densification is driving an increasing demand for radio network resources, particularly Radio Frequency (RF) spectrum. Giv…
cs.NI2025
Graph Neural Networks Based Anomalous RSSI Detection
Blaž BertalaniÄ, Matej VnuÄec, Carolina Fortuna
In today's world, modern infrastructures are being equipped with information and communication technologies to create large IoT networks. It is essential to monitor these networks…
cs.NI2024
Self-supervised Learning for Clustering of Wireless Spectrum Activity
Ljupcho Milosheski, Gregor Cerar, Blaž BertalaniÄ +2
In recent years, much work has been done on processing of wireless spectrum data involving machine learning techniques in domain-related problems for cognitive radio networks, such…