RAN1 / #119 / NR_AIML_air / Verify

Spreadtrum · 9.1.1

Specification support for beam management · RAN1#119 · Source verification
Claude's delta shifted vs RAN1#118bis
Spreadtrum shifted from emphasizing UE-initiated control to favoring network-provided configurations while maintaining opposition to complex new metrics.
AI-synthesized from contributions · all text is paraphrased
Every position summary on this site is generated by an AI from the actual Tdoc contributions. This page shows you the exact source documents Claude read to produce the summary above, so you can verify it yourself. Click any Tdoc ID to view its detail page, or click "3gpp.org ↗" to read the original on the official 3GPP server.

Contributions at RAN1#119 · 1 doc

R1-2409625 discussion not treated 3gpp.org ↗
Discussion on AIML for beam management
Position extracted by Claude
Spreadtrum supports Option 1 or Option 2 for UE functionality determination, requiring the associated ID to be configured for both training and inference to guarantee consistency. They oppose configuring only Set B resources for UE-side inference and argue that larger quantization steps should not be considered for NW-side model inference. For BM-Case 2, they propose reusing the TCI indication framework and supporting implicit time reporting, while allowing adaptive selection of reported beam counts. They require the associated ID to be configured in CSI-ReportConfig and oppose Alt.4 for performance monitoring, instead supporting dedicated monitoring configurations and Option 1 for training-inference consistency.
Summary
Spreadtrum presents 15 proposals and 6 observations regarding AI/ML for NR Beam Management, focusing on UE-side and NW-side model configurations, inference reporting, and performance monitoring. The document argues for specific signaling frameworks to ensure consistency between training and inference, particularly emphasizing the use of associated IDs and dedicated monitoring configurations.

Prior contributions at RAN1#118bis · 1 doc · Oct 14, 2024

R1-2407694 discussion not treated 3gpp.org ↗
Discussion on AIML for beam management
Position extracted by Claude
Spreadtrum advocates for UE-initiated data collection for UE-side models, opposes larger quantization steps for inference to maintain accuracy, supports up to 16 beams reporting per instance, and favors reusing existing CSI frameworks to minimize specification impact. They push against overly complex standardization solutions, advocating for simpler approaches like CRI/SSBRI-only beam information and implicit time reporting over more complex bitmap schemes.
Summary
Spreadtrum presents their technical positions on AI/ML for beam management in NR, covering data collection, model inference, and performance monitoring aspects. The document contains 12 proposals and 3 observations addressing both UE-side and network-side AI/ML models for spatial and temporal beam prediction use cases.
How this was derived
Claude extracted the "position extracted" field above directly from each Tdoc during summarization. For the delta summary at the top, Claude compared Spreadtrum's consolidated stance at RAN1#119 against their stance at RAN1#118bis and classified the change as shifted. Always verify critical claims against the original Tdocs linked above.