Author

Ahmed Aboulfotouh

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#artificial intelligence Preprint Oct 2026

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

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 downstream performance. However, its gains are less consistent in wireless self-supervised learning when pretrain...

Ahmed P. Mohamed, Ahmed Aboulfotouh, Hatem Abou-Zeid · 0 citations

#artificial intelligence Review Sep 2026

Wireless Foundation Models: State-of-the-Art and Open Challenges

This analysis shows that current WFMs provide increasing evidence of reusable wireless representations, but this evidence varies considerably across task families and evaluation settings, and identifies open directions for improving data availability, evaluation rigor, generalization, efficient adaptation, and real-wor...

Alonso M. Pacheco Huachaca, J. J. Rodríguez Rodríguez, Ahmed Aboulfotouh et al. · 0 citations