Invention Publication
- Patent Title: MODEL STATUS MONITORING, REPORTING, AND FALLBACK IN MACHINE LEARNING APPLICATIONS
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Application No.: US18548065Application Date: 2021-05-14
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Publication No.: US20240147267A1Publication Date: 2024-05-02
- Inventor: Yuwei REN , Ruiming ZHENG , Chenxi HAO , Xipeng ZHU , Shankar KRISHNAN , Taesang YOO , Yu ZHANG , Hao XU , Yin HUANG
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- International Application: PCT/CN2021/093817 2021.05.14
- Date entered country: 2023-08-25
- Main IPC: H04W24/04
- IPC: H04W24/04 ; H04L41/0654 ; H04L41/16 ; H04W24/02

Abstract:
A method of wireless communications by a user equipment (UE) includes communicating with a network based on a machine learning model for wireless communication. The method also includes monitoring a status of the machine learning model for wireless communication. The method further includes reporting the status of the machine learning model for wireless communication using a predetermined resource according to a predetermined format. The method also includes falling back to communicating with a fallback procedure, instead of the machine learning model for wireless communication, to maintain wireless communication with the network in response to the status of the machine learning model indicating a model failure.
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