ADAPTIVE PATH LOSS CORRECTION
    12.
    发明公开

    公开(公告)号:US20230180143A1

    公开(公告)日:2023-06-08

    申请号:US18162029

    申请日:2023-01-31

    Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points using the correlation bias factor.

    Spectrum management for coexistence of heterogeneous wireless technologies

    公开(公告)号:US11153761B2

    公开(公告)日:2021-10-19

    申请号:US16736620

    申请日:2020-01-07

    Abstract: Spectrum management may be provided. A first Radio Frequency (RF) event metric may be received from a first service end point. The first RF event metric may comprise a time a first event occurred. A second RF event metric may be received from a second service end point. The second RF event metric may comprise a time a second event occurred. Then it may be determined that the time the first event occurred and the time the second event occurred are substantially congruent. Next, in response to determining that the time the first event occurred and the time the second event occurred are substantially congruent, the first service end point and the second service end point may be grouped in a first RF group thereby allowing frequency re-use across similar RF groups. Then different channels may be assigned to the first service end point and the second service end point.

    Smart channel selection for low bandwidth IoT clients

    公开(公告)号:US10972943B2

    公开(公告)日:2021-04-06

    申请号:US16296523

    申请日:2019-03-08

    Abstract: In one embodiment, a supervisory device for a wireless network classifies each client of a set of access points in the wireless network as either an Internet of Things (IoT) device or a non-IoT device. The supervisory device selects, for each of the access points in the set, a channel width based on the classifications of its clients. The supervisory device assigns, for each of the access points in the set, one or more wireless channels for use by that access point, based on the selected channel width for that access point. The supervisory device instructs the access points in the set to use their assigned channels to communicate with their clients.

    ENHANCED RADIO FREQUENCY (RF) MANAGEMENT USING ACTIVE SENSORS

    公开(公告)号:US20200336226A1

    公开(公告)日:2020-10-22

    申请号:US16389250

    申请日:2019-04-19

    Abstract: Enhanced Radio Frequency (RF) management using active sensors may be provided. First, a plurality of user devices may be determined that a first active sensor is to act as an anchor for within a first portion of a Radio Frequency (RF) environment in which the plurality of user devices and the first active sensor are disposed. Next, RF environment data corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may be collected. A report corresponding to the first portion of the RF environment in which the plurality of user devices are disposed may then be created based on the collected RF environment data. The report may be configured to aid in evaluating a link between at least one of the plurality of user devices and a first Access Point (AP). The created report may be provided to the first AP.

    ADAPTIVE PATH LOSS CORRECTION
    17.
    发明申请

    公开(公告)号:US20200245260A1

    公开(公告)日:2020-07-30

    申请号:US16255955

    申请日:2019-01-24

    Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.

    Adaptive path loss correction
    18.
    发明授权

    公开(公告)号:US12069588B2

    公开(公告)日:2024-08-20

    申请号:US18162029

    申请日:2023-01-31

    Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points using the correlation bias factor.

    Adaptive path loss correction
    20.
    发明授权

    公开(公告)号:US11632723B2

    公开(公告)日:2023-04-18

    申请号:US17000534

    申请日:2020-08-24

    Abstract: Presented herein are techniques for using mobile client density to compensate for variations in path loss between neighboring access points. In one example, a device (e.g., wireless controller) determines one or more mobile client density variation trends in a wireless network location and determines one or more neighbor message power variation trends between at least first and second access points within the wireless network location over a time period. The device generates one or more correlation bias factors using the mobile client density variation trends and the neighbor message power variation trends over the time period. The device determines a path loss between at least the first and second access points based on the correlation bias factor and data associated with neighbor messages sent between the first and second access points.

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