R1-2409996
discussion
Discussion on other aspects of AI ML model and data
From China Telecom
Summary
China Telecom's contribution discusses AI/ML model transfer/delivery and identification for NR air interface, presenting 4 proposals focused on deprioritizing certain model transfer cases and prioritizing specific alternatives for Case z4 implementation.
Position
China Telecom advocates FOR prioritizing Case z4 model transfer with Alternative B approach (providing network flexibility in model structure management) and deprioritizing Case z1 due to cross-vendor collaboration complexity. They push FOR standardizing UE readiness reporting mechanisms and clarifying model ID relationships in two-sided AI/ML implementations.
Key proposals
- Proposal 1 (Model transfer/delivery): The model transfer/delivery Case z1 is deprioritized in Rel-19 due to offline cross-vendor collaboration issues and proprietary design disclosure risks
- Proposal 2 (Model transfer/delivery): For model delivery/transfer Case z4, prioritize on the study of Alt. b. (Step B-0 ~ Step B-3) and further study on what/how many model structure(s) is standardized
- Proposal 3 (Model transfer/delivery): Regarding model transfer/delivery Case z4 for inference, UE report to NW when the AI model with the transferred parameters is ready for inference after Step B-3 in Alt.B
- Proposal 4 (Model identification): For AI-Example 2, further discuss the relationship between ID-X and model ID for two-sided models with dataset transfer