Dynamic node key performance indicator reporting in open radio access network

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

• determining resource utilization of an E2 network node;
• determining a requested reporting period of a key performance indicator, applicable to the E2 network node, requested by an extended application of a radio access network intelligent controller;
• and
• using a reporting model generated using machine learning based on past resource utilization, other than the resource utilization, and past reporting periods, other than the requested reporting period, determining a recommended reporting period applicable to the E2 network node and the extended application, wherein the past resource utilization comprises at least one of past central processing unit utilization of the E2 network node or past available random access memory on the E2 network node, and wherein the past resource utilization further comprises past heating levels of the E2 network node.

A method, comprising:

• determining, by a radio access network intelligent controller comprising at least one processor, resource utilization of a network node;
• determining, by the radio access network intelligent controller, a requested reporting period of a key performance indicator, applicable to the network node, requested by extended application associated with the radio access network intelligent controller;
• and
• using a reporting machine learning model generated using artificial intelligence based on past resource utilization, other than the resource utilization, and past reporting periods, other than the requested reporting period, generating, by the radio access network intelligent controller, recommendation data representative of a reporting period recommendation applicable to the network node and the extended application, wherein the past resource utilization comprises at least one of past central processing unit utilization of the network node or past available random access memory on the network node, and wherein the past resource utilization further comprises past heating levels of the network node, and wherein the recommendation data is determined to optimize an energy efficiency of the network node.