R1-2500465 discussion

On specification for AI/ML-based beam management

From OPPO
Status: not treated
WI: NR_AIML_air
Agenda: 9.1.1
Release: Rel-19
Source: 3gpp.org ↗

Summary

OPPO presents a comprehensive set of proposals for AI/ML-based beam management in NR Rel-19, covering both NW-side and UE-side models for BM-Case 1 and BM-Case 2. The document contains approximately 35 distinct proposals and observations, focusing on specification impacts for inference, data collection, performance monitoring, and consistency mechanisms.

Position

OPPO proposes clarifying beam information as CRI/SSBRI indices for NW-side models and supports implicit temporal reporting for BM-Case2 to reduce overhead. They argue that UE-side additional conditions on Rx beamforming are unnecessary for NW-side models, as consistency can be achieved via mixed datasets during training. For UE-side models, OPPO supports reporting probability information (Opt 3) and adopting Option 3b (Top-K/M) for beam prediction accuracy metrics, while also supporting Type 2 performance monitoring where the UE makes LCM decisions. They propose configuring {associated ID, Set B, Set A} triples within the CSI framework to ensure consistency across training and inference. Additionally, OPPO argues for separate CPU counting for AI/ML-based CSI reporting versus legacy CSI reporting, citing hardware separation between sequential and parallel computing units.

Key proposals

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