Methods for reliable ai / ML based positioning

Abstract

A wireless transmit / receive unit (WTRU) may receive, from a server associated with a trained artificial intelligence / machine leaning (AI / ML) model, a first association information. The first association information may comprise a first set of positioning reference signal (PRS) configurations on which the AI / ML model has been trained. The WTRU may receive a request for inferences related to a location of the WTRU via the AI / ML model. The WTRU may send a request for a second association information which may comprise a second set of PRS configurations. The WTRU may determine, by comparing the first and the second association information, the consistency between the first and the second association information based on PRS configurations of the first set of PRS configurations overlapping with PRS configurations of the second set of PRS configurations. The WTRU may implement the trained AI / ML model to generate inferences related to the location of the WTRU.

Images