R1-2409749 discussion

Specification support for beam management

From Tejas Networks Limited
Status: not treated
WI: NR_AIML_air
Agenda: 9.1.1
Release: Rel-19
Source: 3gpp.org ↗

Summary

Tejas Networks Limited submits 36 proposals and 6 observations to address open issues for AI/ML-based beam management in NR, covering both UE-sided and NW-sided models. The document focuses on ensuring consistency between training and inference via Associated IDs, optimizing reporting overhead through differential L1-RSRP and dynamic resource configuration, and defining performance monitoring metrics for Type 1 and Type 2 scenarios.

Position

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.

Key proposals

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