A new open-source simulator and a characterized 200TB, 25M-frame synthetic radio dataset with 100 modulation classes, intended to train AI models for spectrum sensing.
Colosseum: Large-scale wireless exper- imentation through hardware-in-the-loop network emulation,
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CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications
A new open-source simulator and a characterized 200TB, 25M-frame synthetic radio dataset with 100 modulation classes, intended to train AI models for spectrum sensing.