Systems and methods facilitating user level traffic type classification in packet data networks for network resource optimization in open radio access networks

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor of an open radio access network, facilitate performance of operations, the operations comprising:

• receiving, via an O1 interface, data traffic from an open radio unit network (ORAN) with respect to user equipment (UE);
• classifying the received data traffic into one or more service requirements that are indicative of optimized network resource slices to be allocated;
• and
• transmitting, via an A1 interface, the allocation of the network resource slices to a near-real-time radio access network intelligent controller (near-RT RIC) to implement the allocation of the network resource slices in one or more open distributed units (O-DUs) and one or more open radio units (O-RUs) in the ORAN.

A method, comprising:

• acquiring, by a processing system including a processor, real-time data traffic;
• processing, by the processing system, the real-time data traffic into a comprehensive data set;
• classifying, by the processing system, the real-time data traffic using a machine learning model based on the comprehensive data set;
• determining, by the processing system, a network resource slice that optimizes service requirements based on the classification of the real-time data traffic;
• generating, by the processing system, policies and guidance instructions including association between the classification of the real-time data traffic and the network resource slice;
• and
• transmitting, by the processing system, the generated policies and guidance instructions to a near-real-time radio access network intelligent controller (near-RT RIC) to implement the generated policies and guidance instructions.