Self-learning network geofences
    1.
    发明授权

    公开(公告)号:US12160787B2

    公开(公告)日:2024-12-03

    申请号:US18139712

    申请日:2023-04-26

    Applicant: Apple Inc.

    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.

    SELF-LEARNING NETWORK GEOFENCES
    2.
    发明申请

    公开(公告)号:US20230092500A1

    公开(公告)日:2023-03-23

    申请号:US17483785

    申请日:2021-09-23

    Applicant: Apple Inc.

    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.

    Network Interface Management for Citizens Broadband Radio Service

    公开(公告)号:US20220394492A1

    公开(公告)日:2022-12-08

    申请号:US17832255

    申请日:2022-06-03

    Applicant: Apple Inc.

    Abstract: Apparatuses, systems, and methods for network interface management for Citizens Broadband Radio Service (CBRS) deployments, e.g., in LTE and/or 5G NR systems and beyond, including methods for coarse selection of CBRS networks and fine selection of CBRS networks as well as support for multiple CBRS networks. Coarse selection of CBRS networks may include various triggers for automatic CBRS profile enabling and/or disabling, user management and overriding of system selections, tiered hierarchy for CBRS network enabling and/or disabling, as well as mechanisms to avoid ping-ponging between network selection. Fine selection of CBRS networks may include data slot switching between mobile network operators (MNOs, e.g., LTE/NR macro cells) and CBRS eSIM as well as prioritization of CBRS networks over Wi-Fi networks. Multiple CBRS networks support may include CBRS network identifier (NID) matching for unique identification as well as user-ranked CBRS priority.

    SELF-LEARNING NETWORK GEOFENCES
    4.
    发明公开

    公开(公告)号:US20230269556A1

    公开(公告)日:2023-08-24

    申请号:US18139712

    申请日:2023-04-26

    Applicant: Apple Inc.

    CPC classification number: H04W4/022 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.

    Self-learning network geofences
    5.
    发明授权

    公开(公告)号:US11722839B2

    公开(公告)日:2023-08-08

    申请号:US17483785

    申请日:2021-09-23

    Applicant: Apple Inc.

    CPC classification number: H04W4/022 H04B17/327 H04B17/336 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.

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