Systems and methods for ai/ml-based handover thresholds for heterogeneous wireless networks

A non-transitory computer-readable medium, storing a plurality of processor-executable instructions to:

• maintain one or more models that are generated based on handover interruption metrics associated with handovers associated with one or more User Equipment (“UEs”), wherein the one or more models include respective handover threshold information;
• receive a request for handover threshold information;
• identify, based on the request and further based on the one or more models, particular handover threshold information;
• and
• output, in response to the request, the particular handover threshold information, wherein a particular UE uses the set of particular set of handover threshold information to determine whether to perform a handover from a particular handover source to a particular candidate handover target.

A method, comprising:

• maintaining one or more models that are generated based on handover interruption metrics associated with handovers associated with one or more User Equipment (“UEs”), wherein the one or more models include respective handover threshold information;
• receiving a request for handover threshold information;
• identifying, based on the request and further based on the one or more models, particular handover threshold information;
• and
• outputting, in response to the request, the particular handover threshold information, wherein a particular UE uses the set of particular set of handover threshold information to determine whether to perform a handover from a particular handover source to a particular candidate handover target.