R1-2409670
discussion
Study on consistency issue for CSI prediction
From vivo
Summary
This document analyzes the impact of TXRU virtualization mapping mismatches on CSI prediction generalization performance, identifying significant SGCS losses under high-speed and outdoor user conditions. It contains 3 observations regarding performance degradation and 2 proposals, one identifying TXRU mapping as a critical NW-side condition and another recommending the adoption of associated IDs for model consistency.
Position
vivo identifies TXRU virtualization mapping as a critical NW-side additional condition that significantly impacts the generalization performance of UE-sided CSI prediction models. They present simulation evidence showing that mismatches in TXRU mapping between training and inference data cause substantial SGCS loss, particularly in high-speed (60km/h) and 100% outdoor user scenarios, with losses reaching up to -44.4%. To address this consistency issue, vivo proposes following the solution based on associated ID as established in the Beam Management (BM) use case. This approach ensures that data collected under specific NW-side additional conditions, such as varying TXRU mappings due to energy saving shutdowns, are linked to unique identifiers so UEs can select the correct corresponding models for inference.
Key proposals
- Observation 1 (Sec Conclusions): At least for 60km/h, or when the proportion of high-speed data collected is high, significant performance loss can be caused by the mismatch in terms of TXRU virtualization mapping model between training and the inference data.
- Observation 2 (Sec Conclusions): When the user distribution ratio is 8:2, the SGCS loss of different TXRU virtualization mappings in the generalization evaluation ranges from -5.6% to -9.4%.
- Observation 3 (Sec Conclusions): When the user distribution ratio is 100% outdoor, the SGCS loss of different TXRU virtualization mappings in the generalization evaluation ranges from -13.0% to -44.4%.
- Proposal 1 (Sec Conclusions): At least TXRU mapping is identified as one NW-side additional condition which will have significant impact on generalization performance.
- Proposal 2 (Sec Conclusions): Follow the solution based on associated ID as BM use case to address the consistency issue of training and inference for UE-side model.
Revision chain
2 versions in this meeting · oldest first
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R1-2409670 ← you are here discussion revised
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Study on consistency issue for CSI prediction