Ai driven 5g network and service management solution

A method, comprising:

• acquiring device indicators for a plurality of user devices using a wireless network;
• acquiring network indicators for a first set of network slices used to provide a network service for the wireless network to the plurality of user devices;
• determining whether a quality-of-service parameter was not satisfied for the plurality of user devices based on the device indicators and the network indicators;
• and
• in response to determining that the quality-of-service parameter was not satisfied for the plurality of user devices, applying at least one machine learning model to output instructions to one or more core network functions to replace the first set of network slices with a second set of network slices to provide the network service for the plurality of user devices.

A non-transitory computer-readable medium storing computer instructions that, when executed by at least one processor, cause the at least one processor to perform actions, the actions comprising:

• acquiring device indicators for a plurality of user devices using a network service of a wireless network;
• acquiring network indicators for a first set of network slices used to provide the network service for the wireless network to the plurality of user devices;
• and
• in response to determining that a network parameter is not being satisfied for the plurality of user devices, employing a machine learning model to configure a second set of network slices to replace the first set of network slices to provide the network service for the plurality of user devices.