Huawei · 9.1.3

Huawei presents a technical case against the necessity and feasibility of introducing associated IDs or other NW-side indications for CSI prediction consistency. They argue that the massive number of impacting factors, such as antenna layout and down tilt angles, makes categorization by the network difficult and risks proprietary disclosure of network planning information. Huawei contends that unlike beam management or positioning, CSI prediction models achieve sufficient generalized performance using mixed datasets (Generalization Case 3), rendering explicit consistency indications unnecessary. Instead, they propose that consistency be ensured through UE-side performance monitoring in an implementation manner, allowing the UE to select the best-matching model without network signaling overhead.

Huawei advocates AGAINST introducing network-side associated IDs or explicit indications for CSI prediction consistency, arguing that such mechanisms are both infeasible (due to massive impacting factors and network burden) and unnecessary (since generalized models work well with mixed datasets). They push FOR UE-side performance monitoring as an implementation-based solution, distinguishing CSI prediction from beam management and positioning use cases where associated IDs were deemed necessary.

Huawei strongly advocates AGAINST introducing associated IDs or network-side indications for CSI prediction consistency, arguing they are unnecessary, technically infeasible, and create privacy risks. They push FOR UE-side performance monitoring as a sufficient implementation-based solution, differentiating CSI prediction from beam management where associated IDs were deemed necessary.