Invention Grant
- Patent Title: User equipment behavior when using machine learning-based prediction for wireless communication system operation
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Application No.: US17304639Application Date: 2021-06-23
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Publication No.: US11751072B2Publication Date: 2023-09-05
- Inventor: Tianyang Bai , Hua Wang , Jung Ho Ryu , Junyi Li
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Harrity & Harrity, LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; H04B17/24 ; H04B17/391 ; H04L41/16 ; H04L43/16 ; H04W16/22 ; H04W24/06 ; H04W24/10 ; H04W72/12 ; H04W76/18 ; H04W76/25 ; H04W84/02 ; H04W88/02 ; H04W88/08 ; H04W92/02 ; H04W92/10 ; H04W72/50

Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may identify a failure associated with a machine learning prediction for one or more network parameters; report, to a base station, failure information regarding the failure associated with the machine learning prediction; receive, from the base station, response information identifying an alteration to a communication configuration as a response to the failure associated with the machine learning prediction; and implement the alteration to the communication configuration based at least in part on receiving the response information. Numerous other aspects are provided.
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