Label-Free Environment Adaptation for Wireless Receivers via Physics-Informed Constraints
Adapting deep-learning receivers after deployment is challenging because ground-truth channel state and transmitted payload symbols are unavailable, while sparse pilots alone provide insufficient supervision. The orthogonal frequency-division multiplexing waveform, however, embeds physical structure that can provide la...