Method, apparatus and computer program for framework for PRU association for AIMLpositioning

Abstract

An apparatus comprising: means for receiving, from a network function, at least one condition for at least one positioning measurement from one or more candidate positioning reference units, PRUs, to be used for location refinement of the apparatus; means for receiving, from at least one of the network function and at least one candidate PRU of the one or more candidate PRUs, the at least one positioning measurement for each of the one or more candidate PRUs; means for determining at least one PRU of the one or more candidate PRUs for which the positioning measurement satisfies the at least one condition; means for determining location correction data from the positioning measurement of the at least one PRU; means for refining, using the location correction data, a location estimate of the apparatus. The at least one condition may be based on a similarity score between a positioning measurement of a candidate PRU of the one or more candidate PRUs and the positioning measurement of the apparatus. The similarity score may be determined using a first machine learning (ML) model, wherein the apparatus comprises: means for receiving, from the network entity, a configuration of the first machine learning model.

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