Determining a machine-learning architecture for network slicing

A user equipment comprising:

• a radio-frequency transceiver;
• and
• a first processor and first memory system configured to:
• execute a first application associated with a first requested quality-of-service level;
• select a first machine-learning architecture based on the first requested quality of-service level;
• transmit, to a network-slice manager of a wireless network, a first machine-learning architecture request message to request permission to use the first machine-learning architecture;
• receive, from the network-slice manager, a first machine-learning architecture response message that grants permission to use the first machine-learning architecture based on a first network slice;
• and
• wirelessly communicate data for the first application using the first machine learning architecture.

A method performed by a network-slice manager, the method comprising:

• creating a first network slice;
• receiving, from a user equipment, a first machine-learning architecture request message that requests permission to use a first machine-learning architecture;
• determining that the first machine-learning architecture is associated with at least one first end-to-end machine-learning architecture of the first network slice;
• and
• transmitting, to the user equipment, a first machine-learning architecture response message that grants permission to use the first machine-learning architecture.

A network-slice manager comprising:

• a processor and memory system configured to:
• create a first network slice;
• receive, from a user equipment, a first machine-learning architecture request message that requests permission to use a first machine-learning architecture;
• determine that the first machine-learning architecture is associated with at least one first end-to-end machine-learning architecture of the first network slice;
• and
• transmit, to the user equipment, a first machine-learning architecture response message that grants permission to use the first machine-learning architecture.