arXiv cs.LG
6/23/2026

Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G
Short summary
Researchers propose CSI-native foundation models for 6G wireless systems that treat channel state information as propagation-conditioned responses rather than generic tensors. Through channel-aware pretraining and specialized attention mechanisms, the framework improves channel estimation by 4 dB and achieves 5.4 dB gains under antenna scaling. The system reduces pilot overhead by 93% while improving spectral efficiency by 36.6% over existing methods, suggesting practical advantages for 6G deployment.
- •Novel framework aligns foundation model pretraining with wireless channel geometry for better CSI representation
- •Achieves 4+ dB NMSE improvement and 5.4 dB gains under 8x antenna scaling with only 7% dense-pilot overhead
- •Improves spectral efficiency 36.6% over dense methods and 15.5% over WiFo, indicating deployment viability
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