Tejas Networks Limited · 9.1.1

Tejas Networks proposes that the Associated ID for UE-sided models be configured within the CSI-Report Config to ensure consistency between training and inference phases for Set A and Set B resources. They present a technical case for a weighted Beam Accuracy Indicator (BAI) calculation that assigns weights to predicted beams based on their presence in the Top-M measured beams, enhancing monitoring precision. For NW-sided models, they support reporting Differential L1-RSRP with a larger quantization step size and a maximum beam count (M) of 256 to optimize reporting overhead. They propose dynamic control over Set A and Set B measurements and suggest configuring monitoring resources within existing CSI report configurations to reduce signaling complexity. Additionally, they support extending Rel-17 TCI state activation for BM-Case 2 with a configurable number of joint TCI states (N=2 to 4) aligned with UE mobility.

Tejas Networks proposes that the Associated ID be configured within the CSI-Report Config to ensure consistency between training and inference phases for UE-sided models, mapping to both Set A and Set B resources. They support using L1 signaling for Type 1 NW-side performance monitoring while allowing higher-layer signaling for larger data volumes, and propose configuring monitoring resources within existing CSI report configurations to reduce overhead. For NW-sided models, they propose reporting differential L1-RSRP with larger quantization step sizes and supporting up to M=256 beams, utilizing bitmaps for beam identification when M < N. They argue for dynamic configuration of prediction windows and TCI state indications based on UE mobility and channel coherence time, specifically suggesting N=2 to 4 joint TCI states for BM-Case 2. Additionally, they propose that for UE-sided BM-Case 1, only Set B needs to be configured for inference reporting, simplifying the resource setup.