User equipment machine learning service continuity

A first network node for wireless communication, comprising:

• a memory;
• and
• one or more processors, coupled to the memory, configured to:
• receive, from a first inference host associated with the first network node, a first handover communication indicating first machine learning inference information associated with a machine learning service that is associated with machine learning data associated with a first user equipment (UE);
• transmit, to a second network node or a core network node, a handover request communication associated with a handover procedure for the first UE, wherein the second network node is selected by the first network node for the handover procedure based at least in part on the first machine learning inference information and a machine learning service associated with the second network node;
• and
• receive, from the second network node or the core network node, a handover response communication, associated with the handover procedure, indicating second machine learning inference information associated with a second inference host that is associated with the second network node.

A first network node for wireless communication, comprising:

• a memory;
• and
• one or more processors, coupled to the memory, configured to:
• receive, from a second network node or a core network node, a handover request communication associated with a handover procedure for a user equipment (UE), wherein the handover request communication indicates first machine learning inference information associated with a machine learning service and machine learning data associated with the UE;
• communicate, with a first inference host associated with the first network node, to determine that the first inference host is capable of supporting the machine learning service;
• and
• transmit, to the second network node or the core network node, a handover response communication indicating second machine learning inference information associated with the first inference host based at least in part on the first inference host being capable of supporting the machine learning service.

A core network node for wireless communication, comprising:

• a memory;
• and
• one or more processors, coupled to the memory, configured to:
• receive, from a first network node, a first handover request communication associated with a handover procedure for a user equipment (UE), wherein the first handover request communication indicates at least one of first machine learning inference information associated with a machine learning service, machine learning data associated with the UE, or a first inference host that is associated with the first network node;
• transmit, to a second network node, a second handover request communication associated with the handover procedure for the UE, wherein the second network node is selected for the handover procedure based at least in part on the first machine learning inference information and a machine learning capability associated with the second network node;
• and
• receive, from the second network node, a first handover response communication, associated with the handover procedure, indicating second machine learning inference information associated with a second inference host that is associated with the second network node.