Handling of measurements for AI / ML configuration and collection at mobility

By properly handling the AI/ML measurements and data of the UE during mobility operations, the problem of data loss of the UE in the wireless communication network is solved, the effective management of data and the collection of data from the target RAN node are realized, and the data processing efficiency and reliability of the network are improved.

CN122122986APending Publication Date: 2026-05-29TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
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Patent Information

Application Number
CN202480069880.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Priority Date
2023-11-03
Filing Date
2024-11-01
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In wireless communication networks, the handling methods for AI/ML related measurements and data that have not yet been transmitted to the network when user equipment (UE) performs mobility operations are not yet clear, leading to data loss or improper processing.

Method used

A method is proposed in which the UE performs AI/ML measurement collection based on the received configuration information during mobility operation, records the data in the memory, and then disposes of the unsent data according to different procedures, including deletion, sending to the target RAN node, continuing to perform measurement, or indicating data availability.

Benefits of technology

It effectively manages AI/ML measurements and data that the UE has not yet transmitted during mobility operations, ensuring that no data is lost, and supports data collection and model training for target RAN nodes, thereby improving the network's data processing efficiency and reliability.

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Abstract

A method is disclosed for a UE to handle a schedule of AI / ML related measurements and data collected but not yet transmitted to a network in the event of a termination or loss of network connection. This may include mobility operations (e.g., handover); performing RRC state transition; a radio link failure; or a change in the PSCell. The UE handles the AI / ML data in one of several procedures according to configuration information received from the source network node specifying measurements and data collection for AI / ML model training. The UE may delete it; sending it to the target RAN node (the UE reestablishes a network connection with the node); continuing to execute the AI / ML measurement; indicating the availability of the previously collected data to the target RAN node; or indicating to the target RAN node whether the source node is configured with the AI / ML measurement configuration.
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