Invention Grant
- Patent Title: Self-learning network geofences
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Application No.: US17483785Application Date: 2021-09-23
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Publication No.: US11722839B2Publication Date: 2023-08-08
- Inventor: Li Li , Raj Sukumar Chaugule , En Yang Zhang
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Fish & Richardson P.C
- Main IPC: H04W48/12
- IPC: H04W48/12 ; H04W4/021 ; H04B17/336 ; H04B17/327 ; H04W24/10

Abstract:
Disclosed are methods, systems, apparatus, and computer programs for self-learning geofences is disclosed. In one aspect, a method involves gathering a plurality of data points associated with one or more Citizens Broadband Radio Service (CBRS) deployers; determining respective identifiers of the one or more CBRS deployers associated with the plurality of data points; clustering, based on the respective identifiers of the one or more CBRS deployers, the plurality of data points into one or more clusters, where each cluster is associated with one of the one or more CBRS deployers, and where each cluster is associated with a geofence of a network of the one or more CBRS deployers; identifying an opportunity for uploading the one or more clusters to a central server; and uploading the one or more clusters to the central server during the identified opportunity.
Public/Granted literature
- US20230092500A1 SELF-LEARNING NETWORK GEOFENCES Public/Granted day:2023-03-23
Information query