R1-2410818
discussion
Summary #2 of CSI prediction
From LG Electronics
Summary
This 3GPP RAN1 technical document from LG Electronics presents a comprehensive summary of CSI prediction discussions covering consistency between training and inference, with over 100 observations and proposals from multiple companies. The document focuses on evaluating whether network-side additional conditions like antenna tilt angles and TXRU mapping require specification support for AI/ML-based CSI prediction using UE-sided models.
Position
As the document moderator, LG Electronics takes a balanced approach by summarizing industry consensus rather than advocating for specific technical solutions. They facilitate the discussion toward concluding that tilt angle has negligible impact on CSI prediction performance, while acknowledging lack of consensus on TXRU mapping effects. LG Electronics appears to favor evidence-based conclusions that avoid unnecessary specification complexity when performance impacts are minimal.
Key proposals
- Observation (Sec 4.3): For CSI prediction using UE-sided model, for consistency between training and inference, tilt angle at NW-side has negligible degradation on model generalization performance
- Observation (Sec 4.7): For CSI prediction using UE-sided model, for consistency between training and inference regarding TXRU mapping at NW-side, 7 sources observe negligible performance degradation for generalization case 2/3, while 2 sources observe non-negligible performance degradation
- Conclusion (Sec 6.1.1): For CSI prediction using UE-sided model, for consistency between training and inference, tilt angle at NW-side has negligible degradation on model generalization performance
- Conclusion (Sec 6.1.2): For CSI prediction using UE-sided model, RAN1 has no consensus on whether tilt angle or TXRU mapping results in non-negligible performance degradation on model generalization
- Conclusion (Sec 6.2.1): For CSI prediction using UE-sided model, for consistency between training and inference, tilt angle at NW-side is not considered as NW-side additional conditions
- Conclusion (Sec 6.2.2): For CSI prediction using UE-sided model, RAN1 has no consensus on specifying consistency of training/inference due to NW-side additional conditions
- Conclusion (Sec 7.1): For CSI prediction using UE-sided model, for consistency between training and inference, tilt angle at NW-side has negligible performance degradation on model generalization
- Conclusion (Sec 7.2): For CSI prediction using UE-sided model, RAN1 has no consensus on specifying consistency of training/inference due to NW-side additional conditions
- Agreement (Agreements): For consistency between training and inference, study to identify which potential NW-side additional conditions may impact on UE assumption for CSI prediction using UE-sided model
- Agreement (Agreements): For generalization evaluation to identify potential NW-side additional conditions, consider various tilt angle and various TXRU mapping configurations