RAN1 /
Meeting 120 /
NR_AIML_air-Core, AIML_CN
NR_AIML_air-Core, AIML_CN
NR_AIML_air-Core, AIML_CN · 4 contributions
Contributions
Draft LS reply on LMF-based positioning for case 2b
NEC submits a Liaison Statement reply to SA2 regarding data collection for LMF-based AI/ML Positioning Case 2b, clarifying that detailed agreements are pending until Q1 2025. The document outlines existing RAN1 agreements from Meeting #116b, defining the structure of training data samples into Part A (channel…
NEC clarifies that detailed data collection agreements for Case 2b are pending until Q1 2025, as it is a 2nd priority case. They present the existing RAN1#116b agreement which structures training data into Part A (channel measurement, quality indicator, timestamp) and Part B…
Draft LS reply on LMF-based positioning for case 3b
This document serves as a Liaison Statement reply from RAN1 to SA2 regarding the progress of AI/ML-based positioning for Case 3b in Release 19. It consolidates existing RAN1 agreements and working assumptions concerning data collection, specifically defining the structure of training data into Part A (channel…
NEC presents the consolidated RAN1 agreements on AI/ML positioning data collection for Case 3b, proposing that training data be structured into Part A (channel measurements) and Part B (ground truth labels). They require the reuse of existing IEs, specifically NR-TimingQuality…
[Draft] Reply LS on LMF-based AI/ML Positioning for Case 2b
This document is a Liaison Statement reply from RAN1 to SA2 regarding LMF-based AI/ML Positioning for Case 2b in Release 19. It outlines current agreements on data types (timing, power, phase) and measurement alternatives (sample-based vs. path-based), as well as procedures for model training data collection and…
ZTE, representing RAN1, confirms that for AI/ML positioning Case 2b, the supported data types include timing information and paired timing/power information, with phase information still under investigation. They propose studying two alternatives for time domain channel…
[Draft] Reply LS on LMF-based AI/ML Positioning for Case 3b
This document is a Liaison Statement reply from RAN1 to SA2 regarding LMF-based AI/ML positioning for Case 3b in Rel-19. It outlines current progress and future work plans for data types and procedures, detailing agreements on channel measurements, timing references, and training data components, while noting that RAN…
ZTE presents the consolidated RAN1 agreements on data types and procedures for LMF-based AI/ML positioning Case 3b. They define the mandatory model input data types as timing information and paired timing/power information, specifically utilizing UL SRS-RSRPP and DL PRS-RSRPP as…