Company
TCL
7 contributions across 1 work items
7
Tdocs
1
Work items
Recent position changes
AI-synthesized from contributions · all text is paraphrased
New positions this meeting
- 9.1.2 — Prefers Option A-2 for label-based monitoring, proposes signaling monitoring outcomes only upon deterioration, and introduces AI-specific reference signal configurations.
- 9.1.3 — Proposes UE-requested data collection for training, NW-indicated collection for inference/monitoring, and reusing legacy feedback mechanism for TypeII-Doppler-r18'.
Recent contributions
Discussion on CSI Prediction
TCL presents 13 proposals regarding AI-based CSI prediction using UE-side models, covering data collection, model inference, and performance monitoring. The document argues for UE-initiated data collection for training, NW-indicated…
Discussion on AIML beam management
TCL proposes integrating AI/ML into NR beam management to simplify the conventional P1/P2/P3 processes into two phases and unify Beam Failure Detection (BFD) and Recovery (BFR) procedures. The document contains 11 proposals and 6…
Discussion on AIML positioning
TCL presents 11 proposals and 2 observations regarding specification support for AI/ML-based positioning in NR, focusing on performance monitoring, training data collection, and consistency between training and inference. The document…
Discussion on AIML CSI compression
TCL presents a comprehensive technical contribution on AI/ML CSI compression for NR air interface, addressing resource configuration, priority rules, UE capabilities, collaborative training, and overhead reduction. The document contains 7…
Discussions on other aspects of AlML In NR air interface
TCL presents a discussion on AI/ML framework aspects for NR air interface, focusing on model identification and additional conditions management. The document contains 3 observations and 3 proposals addressing ID hierarchical…
Discussion on AIML beam management
TCL proposes comprehensive enhancements to 3GPP NR beam management by integrating AI/ML techniques to simplify conventional P1/P2/P3 beam pairing processes and improve beam failure detection/recovery procedures. The document contains 10…
Discussion on specification support for positioning accuracy enhancement
TCL presents their position on AI/ML based positioning for NR air interface, covering performance monitoring, training data collection, and consistency between training and inference. The document contains 11 proposals and 2 observations…