Wireless communication system and method for collecting AI / ML data information

By defining a new message exchange mechanism between the UE and the NW, the problem of collecting AI data from idle or inactivated UEs is solved, improving the efficiency of AI model training and inference, and reducing signaling overhead and transmission conflicts.

CN120476626APending Publication Date: 2025-08-12SHENZHEN TCL NEW-TECH CO LTD
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Patent Information

Application Number
CN202380089717.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-02-17
Publication Date
2025-08-12

AI Technical Summary

Technical Problem

In the prior art, it is impossible to effectively collect artificial intelligence (AI) data from user equipment (UEs) in idle or inactive states, resulting in inefficiency in AI model training and inference, and increased signaling overhead and transmission conflicts.

Method used

A method is proposed to allow user equipment (UE) and network (NW) to collect AI-specific data under different RRC states. By defining new messages or reusing traditional messages for requests and responses, the NW decides whether to send or reject AI data based on needs, and the UE can also decide independently whether to report data.

Benefits of technology

It improves the efficiency of AI data collection, reduces signaling overhead and transmission conflicts in wireless communication systems, and supports the efficient operation of AI functions.

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Abstract

The present application discloses a method for collecting artificial intelligence (AI) / machine learning (ML) data information in a wireless communication system, comprising: a user equipment (UE) sending a message to a network (NW), the message being used for requesting some AI data information from the NW; the UE receives a message with a response from the NW, where the content of the response corresponds to the decision of the NW. Further, a method of collecting AI / ML data information in a wireless communication system includes: an NW receiving a request message with an AI / ML data request from a UE; the NW makes a decision whether to send the AI / ML data information to the UE; the NW sends a message with a response to the UE, and the content of the response corresponds to the decision of the NW: if the NW agrees to send the AI data information to the UE, the message carries the required AI data information; and if the NW refuses to send the AI data information to the UE, the message carries a rejection reason.
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