Multi-criteria reinforcement learning-based admission control in private networks

Abstract

Technology described herein can comprise a system comprising a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising requesting, via a prediction process executed by the system, a subscription to a quality of service flow of a private network, based on a key performance indicator report received from a node of the private network, defining, via the prediction process, a reward function that determines a quantified reward based on a level of satisfaction corresponding to at least one key performance indicator for the node, and based on the reward function, identifying, via a decision process executed by the system, an action, corresponding to a predicted threshold for the level of satisfaction of the at least one key performance indicator, to be performed to respond to a request for admission to the private network from a user equipment.