Unsupervised contrastive learning with multi-domain equivalent transformations produces robust radio signal embeddings that outperform baselines in few-shot and cross-domain settings.
Cellular, wide-area, and non-terrestrial iot: A survey on 5g advances and the road toward 6g,
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Unsupervised Equivalent Contrastive Learning for Radio Signal Recognition
Unsupervised contrastive learning with multi-domain equivalent transformations produces robust radio signal embeddings that outperform baselines in few-shot and cross-domain settings.