CONTEXT-AWARE ANTENNA TUNING
    4.
    发明公开

    公开(公告)号:US20240094894A1

    公开(公告)日:2024-03-21

    申请号:US17933814

    申请日:2022-09-20

    IPC分类号: G06F3/0488 G06F3/0484

    CPC分类号: G06F3/0488 G06F3/0484

    摘要: The disclosed computer-implemented method may include accessing various portions of contextual information based on at least one touch input from a touch-based sensor on a mobile electronic device. The method may next include determining, based on the contextual information, which of different operational antenna parameters associated with at least one antenna of the mobile electronic device are to be changed. The method may then include changing the specified operational parameters associated with the antenna on the mobile electronic device according to the determination. Various other methods, systems, and computer-readable media are also disclosed.

    Context-aware antenna tuning
    5.
    发明授权

    公开(公告)号:US12093522B2

    公开(公告)日:2024-09-17

    申请号:US17933814

    申请日:2022-09-20

    CPC分类号: G06F3/0488 G06F3/0484

    摘要: The disclosed computer-implemented method may include accessing various portions of contextual information based on at least one touch input from a touch-based sensor on a mobile electronic device. The method may next include determining, based on the contextual information, which of different operational antenna parameters associated with at least one antenna of the mobile electronic device are to be changed. The method may then include changing the specified operational parameters associated with the antenna on the mobile electronic device according to the determination. Various other methods, systems, and computer-readable media are also disclosed.

    SYSTEMS AND METHODS FOR ANTENNA DESIGN
    7.
    发明公开

    公开(公告)号:US20240211660A1

    公开(公告)日:2024-06-27

    申请号:US18392965

    申请日:2023-12-21

    IPC分类号: G06F30/27

    CPC分类号: G06F30/27

    摘要: The disclosed computer-implemented method may include generating, using a machine-learning model of a computing device, a set of antenna designs. The method may also include tokenizing, by the computing device, each antenna design in the generated set of antenna designs. Additionally, the method may include predicting, by the machine-learning model of the computing device, a frequency response for each tokenized antenna design. Furthermore, the method may include comparing, by the computing device, the frequency response for each tokenized antenna design. Finally, the method may include selecting, by the computing device based on the comparison, an antenna design that meets a performance threshold for the frequency response. Various other methods, systems, and computer-readable media are also disclosed.