Ericsson · 9.1.3
Specification support for CSI prediction ·
RAN1#119 · Source verification
Claude's delta
new
vs RAN1#118bis
Ericsson newly presented a position opposing extensive specification enhancements, emphasizing the sufficiency of UE-side model generalization capabilities.
AI-synthesized from contributions · all text is paraphrased
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Contributions at RAN1#119 · 1 doc
AI/ML for CSI prediction
Position extracted by Claude
Ericsson argues inapplicability of the inconsistency issue identified for UE-sided spatial beam prediction to the UE-sided CSI prediction use case, which relies on temporal domain correlation rather than spatial beam sets. They conclude that no specification enhancement is required to ensure consistency between training and inference regarding UE speed, deployment scenario, carrier frequency, UE distribution, NW antenna tilt, or NW TXRU mapping, citing negligible performance degradation (0-4% for tilt, -1~4% for TXRU mapping) in generalization evaluations. They propose studying specification impacts on CSI-RS configuration to indicate the association between CSI-RS resources in the observation window and ground-truth labels in the prediction window for both training and monitoring data collection. They support specification impacts for inference to enable combined periodic and aperiodic (or semi-persistent) CSI-RS configurations to improve prediction performance with long periodicities like 20 ms. They oppose Type 2 based performance monitoring, citing large reporting overhead and significant NW complexity.
Summary
Ericsson presents evaluation results for UE-sided AI/ML CSI prediction, concluding that no specification enhancements are needed to ensure consistency between training and inference regarding UE speed, deployment scenario, carrier frequency, NW antenna tilt, or TXRU mapping, as generalization performance degradation is negligible. The document proposes studying specification impacts on CSI-RS configuration to support data collection for training and monitoring, specifically requiring indications of association between observation and prediction window resources, and supports combining periodic and aperiodic CSI-RS for inference to improve performance with long periodicities.
Prior contributions
Ericsson has no prior contributions to 9.1.3 in the meetings currently tracked. This is either a new contributor to this sub-topic or the earliest meeting in our history.
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 Ericsson's consolidated stance at RAN1#119
against their stance at RAN1#118bis and classified the change as
new.
Always verify critical claims against the original Tdocs linked above.