Determining a machine-learning architecture for network slicing

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

• creating a first network slice for supporting a first quality-of-service level;
• associating the first network slice with at least one available end-to-end machine-learning architecture capable of meeting the first quality-of-service level, wherein each of the at least one available end-to-end machine-learning architecture is a distributed machine-learning architecture that is configured to process wireless communication signals and is formed by a machine-learning architecture implemented by a user equipment, a machine-learning architecture implemented by a base station, and a machine-learning architecture implemented by an entity of a core network;
• receiving, from the user equipment, a first machine-learning architecture request message that requests permission to use a first machine-learning architecture, the first machine-learning architecture being configured to process the wireless communication signals;
• determining whether the first machine-learning architecture forms a portion of the at least one available end-to-end machine-learning architecture associated with the first network slice;
• and
• upon determining that the first machine-learning architecture forms a portion of the at least one available end-to-end machine-learning architecture, transmitting, to the user equipment, a first machine-learning architecture response message that grants permission to use the first machine-learning architecture.

An apparatus for wireless communication at a user equipment, comprising:

• a transceiver;
• a memory;
• and
• a processor coupled to the memory and the transceiver, the processor 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, the first machine-learning architecture forming a portion of at least one first end-to-end machine-learning architecture associated with the first network slice, the at least one first end-to-end machine-learning architecture being a distributed machine-learning architecture that is configured to process wireless communication signals and is formed by the first machine-learning architecture implemented by the user equipment, a machine-learning architecture implemented by a base station, and a machine-learning architecture implemented by an entity of a core network;
• and
• wirelessly communicate data for the first application using the first machine-learning architecture, the first machine-learning architecture being configured to compute an output based on an input using coefficients determined by the user equipment.