Preprint
Aug 2026
Radio-FM: A Foundation Model for Radio Signal Representation Learning and Its Applications
Radio-FM is presented, a scalable family of foundation models designed for universal radio signal representation learning that employs dual-channel processing specifically optimized for I/Q independence while capturing cross-channel interactions through a lightweight attention mechanism.
Jin-Chao Zhou, Wu-Peng Xie, Zhuang-Zhi Chen et al.
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