Artificial intelligence flow control in 5g cellular networks and beyond

Abstract

Aspects of the subject disclosure may include, for example, receiving a data packet for transmission over a wireless network to a user equipment (UE) device in data communication with one or more network elements over one or more carrier legs of the wireless network, receiving information about current network conditions, retrieving a set of packet splitting rules which define initial boundary conditions for a process of splitting packets into smaller data packets for transmission to the UE device, applying, in a machine learning model, one or more packet splitting rules of the set of packet splitting rules to split the data packet into a set of smaller data packets, based on the information about current network conditions in the wireless network, selecting, in the machine learning model, a flow control arrangement for the data packet, including determining a number of smaller packets to split the data packet, and selecting respective carrier legs of the one or more carrier legs of the wireless network for communication of respective data packets of the number of smaller data packets, and communicating the number of smaller data packets to the UE device. Other embodiments are disclosed.