A self-supervised encoder trained on raw multi-antenna I/Q data reaches strong few-shot accuracy on modulation, angle-of-arrival, beam prediction, and RF fingerprinting tasks.
Deep learning for B5G open radio access network: Evolution, survey, case studies, and challenges,
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IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G
A self-supervised encoder trained on raw multi-antenna I/Q data reaches strong few-shot accuracy on modulation, angle-of-arrival, beam prediction, and RF fingerprinting tasks.