Data procedures with artificial intelligence or machine learning-based operations

Abstract

Some examples of the techniques described herein may include handling training data collection or reporting of artificial intelligence or machine learning (AI/ML)-based positioning based on an access stratum state. Training data collection or reporting of AI/ML-based positioning may be performed with one or more AI/ML-related use cases. In some approaches, a user equipment (UE) may be configured for training data collection for one or more use cases (e.g., AI/ML-related use cases for one or more access stratum states), where training data collection may occur in one or more access stratum states. Collected training data may be reported to different network entities. In some examples, a UE may store logged training data at the access stratum layer. In some examples, an indication of availability may be communicated. For instance, one or more indications may be utilized regarding access stratum states in which training data collection may be performed.

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