US US20260164397A1

METHOD OF MODEL TRAINING & INFERENCE PHASES FOR AI/ML-BASED POSITIONING

Abstract

[0000] A method of positioning in a wireless communication network is described. The method comprises receiving, by a user equipment (UE), an LTE positioning protocol (LPP) signaling from a location management function (LMF). The UE transmits at least one capability message indicating support for at least one AI/ML model for at least one first positioning estimation functionality. The UE receives at least one configuration from the LMF. The UE performs AI/ML inference of at least one of UE location estimate and measured features using the at least one AI/ML model based on at least one second positioning estimation functionality and reference signal configurations. The UE transmits at least one of UE location estimate and measured features, to the LMF.

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