Methods for selecting and configuring measurement resources based on configured prediction resources for aiml radio measurement predictions

Abstract

Systems and methods are disclosed for User Equipment (UE) assisted resource set selection for Artificial Intelligence (AI) / Machine Learning (ML) model or functionality such as beam prediction. In one embodiment, a method performed by a UE comprises receiving, from a network node, first information that indicates a first set of measurement resources on which the UE is to perform measurement predictions and receiving, from the network node, second information that indicates a second set of measurement resources with which the UE can be configured to perform measurements, based on which the measurement predictions can be generated. The method further comprises determining whether an applicability condition(s) for using anAI / ML model(s) or function(s) at the UE to generate measurement predictions are satisfied for the first and second sets of measurement resources and sending a first indication to the network node indicating whether the one or more applicability conditions are satisfied.

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