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arXiv cs.LG
arXiv cs.LG
6/23/2026
Towards CSI-Native Foundation Models: A Channel-Adaptive Roadmap for 6G

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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