Company
LG Electronics
9 contributions across 1 work items
9
Tdocs
1
Work items
Recent position changes
AI-synthesized from contributions · all text is paraphrased
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9.1.3 shiftedLG Electronics refined its position from high-level consistency arguments to specific implementation mechanisms, adding proposals for reusing the typeIIDoppler-r18' codebook and the existing CPU mechanism. They preserved their opposition to Type 2 monitoring overhead but added a new technical constraint regarding the specification of time limits or buffering windows for inference results linked to monitoring reports. The earlier focus on tilt angle consensus was dropped in favor of these concrete resource and timing definitions.
New positions this meeting
- 9.1.1 — Proposes extending Rel-18 NES sub-configuration, configuring only Set B for UE inference, defines similar properties based on spatial filters, opposes Aperiodic CSI-RS for Set B, and introduces APUs.
Recent contributions
Discussions on AI/ML for beam management
LG Electronics presents 26 proposals and 5 observations regarding AI/ML enhancements for NR beam management, focusing on data collection, inference mechanisms, performance monitoring, and consistency between training and inference. The…
Discussions on CSI prediction
LG Electronics presents a contribution on AI/ML-based CSI prediction, focusing on data collection frameworks, inference reporting mechanisms, performance monitoring types, and consistency between training and inference. The document…
Discussions on AI/ML for beam management
LG Electronics' comprehensive contribution on AI/ML for NR beam management covers data collection, inference, and performance monitoring for both network-sided and UE-sided models, presenting 25 detailed proposals and 4 observations across…
Discussions on CSI prediction
This LG Electronics contribution discusses AI/ML-based CSI prediction for NR air interface, focusing on consistency between training and inference, and presents simulation results showing marginal performance loss for gNB antenna tilt…
Study on CSI compression
LG Electronics proposes 9 technical proposals for improving AI/ML CSI compression performance in NR, focusing on temporal/spatial/frequency domain compression, inter-vendor training collaboration, and addressing practical implementation…
Discussion on other aspects of AI/ML model and data
LG Electronics presents 8 proposals addressing AI/ML model identification, lifecycle management, and transfer mechanisms for NR air interface. The document focuses on clarifying functionality granularity, model identification options, and…
Summary #1 of CSI prediction
This 3GPP RAN1 document from LG Electronics summarizes CSI prediction evaluation results and consistency issues between training and inference for UE-sided AI/ML models. The document contains numerous observations from multiple companies…
Summary #2 of CSI prediction
This 3GPP RAN1 technical document from LG Electronics presents a comprehensive summary of CSI prediction discussions covering consistency between training and inference, with over 100 observations and proposals from multiple companies. The…
Summary #3 of CSI prediction
This 3GPP RAN1 document (R1-2410899) from LG Electronics summarizes evaluation results for AI/ML based CSI prediction, focusing on consistency between training and inference regarding network-side conditions like antenna tilt angles and…