R1-2410103 discussion

On specification for AI/ML-based CSI prediction

From OPPO
Status: not treated
WI: NR_AIML_air
Agenda: 9.1.3
Release: Rel-19
Source: 3gpp.org ↗

Summary

OPPO proposes solutions for ensuring consistency between training and inference phases in AI/ML-based CSI prediction for NR air interface, addressing both intra-cell and inter-cell scenarios. The document contains 5 proposals and 3 observations focusing on associated ID frameworks and signaling mechanisms.

Position

OPPO advocates FOR adopting the associated ID framework from BM-Case 2 to solve consistency issues in AI/ML CSI prediction, supporting flexible model-to-ID relationships where one model can work with multiple associated IDs. They push FOR further standardization work on inter-cell consistency challenges, particularly when cells have different network-side conditions from different vendors, and advocate AGAINST requiring associated IDs for network-side training scenarios.

Key proposals

Your notes

Private to your account