Artificial intelligence model training for idle mode assistance

A first radio access network node, comprising:

• at least one processor configured to:
• receive, from a second radio access network node that is a neighboring radio access network node with respect to the first radio access network node, a non-training resource indication that is indicative to the first radio access network node of a non-training resource to be used by the second radio access network node to conduct a non-training operation;
• schedule a training resource, to be used by at least one idle mode user equipment to perform a training action with respect to the first radio access network node, wherein the training resource and the non-training resource are non-overlapping;
• broadcast a master information block message comprising a training configuration resource indication that is indicative of a training configuration resource to be used to broadcast a learning model training configuration by the first radio access network node and to receive, by the at least one idle mode user equipment, the learning model training configuration;
• and
• broadcast the learning model training configuration according to the training configuration resource, wherein the training configuration resource comprises a time resource or a frequency resource.

A non-transitory machine-readable medium, comprising executable instructions that, when executed by at least one processor of a first radio access network node, facilitate performance of operations, comprising:

• broadcasting a first information block message comprising a training configuration resource indication that is indicative of at least one training configuration resource that is to be usable by at least one idle user equipment operating in at least one idle mode to receive at least one learning model training configuration;
• broadcasting the at least one learning model training configuration according to the at least one training configuration resource, wherein the at least one learning model training configuration comprises a training action indication indicative of a training action to be performed by a first of at least one idle user equipment with respect to the first radio access network node to result in a first determined learning model parameter value, and wherein the at least one training configuration resource comprises at least one time resource or at least one frequency resource;
• receiving, from the first of the at least one idle user equipment, the first determined learning model parameter value;
• receiving, from a second radio access network node that is a neighboring radio access network node with respect to the first radio access network node, a second determined learning model parameter value, wherein the training action was performed by at least a second of the at least one idle user equipment with respect to the second radio access network node to result in the second determined learning model parameter value;
• determining, based on the first determined learning model parameter value and based on the second determined learning model parameter value, an updated learning model;
• and
• broadcasting, to be receivable by the first of the at least one idle user equipment via a second information block message, the updated learning model.