Native artificial intelligence network architecture

One or more non-transitory, computer-readable media having instructions that, when executed by one or more processors, cause a base station to:

• receive a radio resource control (RRC) model request from a device, the RRC model request indicating a scenario, a channel, traffic, or a mobility status related to the device;
• select a function based on the scenario, the function being a real-time artificial intelligence function (RTAIF) or a non real-time artificial intelligence function (NRTAIF);
• use the function to identify an artificial intelligence/machine learning (AI/ML) model for the device based on the channel, the traffic, or the mobility status indicated by the RRC model request;
• generate an RRC model response that indicates a model identifier (ID) corresponding to the AI/ML model;
• and
• transmit the RRC model response to the device.

A radio access network (RAN) infrastructure comprising:

• a radio access network model repository function (RMRF) structure to store artificial intelligence/machine learning (AI/ML) models;
• a radio access network model coordination function (RMCF) structure to manage the AI/ML models, the RMRF structure and the RMCF structure arranged in a service based system architecture and addressable via hypertext transfer protocol (HTTP) signaling;
• and
• a base station coupled to the RMRF structure and the RMCF structure, the base station to communicate with one or more user equipments (UEs) to share the AI/ML models.