Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures.

arXiv:2610.04289v1 Announce Type: cross Abstract: Wireless foundation models learn representations from unlabeled radio signals for reuse across downstream tasks. Scaling model capacity is a common strategy for learning richer representations and improving dow