AI RESEARCH
Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
arXiv CS.LG
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ArXi:2603.07336v1 Announce Type: cross All applications in fifth-generation (5G) networks rely on stable radio-frequency (RF) environments to mission-critical services in mobility, automation, and connected intelligence. Their exposure to intentional interference or low-power jamming threatens availability and reliability, especially when such attacks remain below link-layer observability.