Enhanced client grouping by a network device

    公开(公告)号:US11133846B2

    公开(公告)日:2021-09-28

    申请号:US16296809

    申请日:2019-03-08

    Abstract: Examples described herein provide enhanced client grouping by a network device. Examples include determining that a plurality of client devices each comprising a plurality of receiver antennas are associated with a network device, and grouping the client devices into one or more groups, wherein each group comprises a number of client devices less than or equal to the number of transmitter antennas of the network device. Examples include, for each group, assigning one spatial stream to one receiver antenna for each client device of the group, and based on a determination that the number of client devices of the group is greater than one and less than the number of transmitter antennas, assigning one spatial stream to each of a portion of the remaining receiver antennas of the group, wherein at least one receiver antenna of the group is not assigned a spatial stream.

    MACHINE LEARNING BASED MODEL FOR SPECTRAL SCAN AND ANALYSIS

    公开(公告)号:US20200151554A1

    公开(公告)日:2020-05-14

    申请号:US16184930

    申请日:2018-11-08

    Abstract: Various aspects of the subject technology relate to methods, systems, and machine-readable media for classifying interfering devices. The method includes collecting data samples from a set of known interfering devices, the data samples having characteristics of the set of known interfering devices. The method also includes compiling known feature vectors corresponding to the characteristics of the set of known interfering devices. The method also includes executing the known feature vectors on machine learning algorithms to train the machine learning algorithms to classify the set of known interfering devices. The method also includes generating a machine learning model based on performances of the machine learning algorithms, the machine learning model including at least one of the machine learning algorithms. The method also includes executing future feature vectors corresponding to a set of future interfering devices on the machine learning model to classify the set of future interfering devices.

    CHANGING STEERING MATRIX CORRESPONDING TO MU-MIMO GROUP TO ALLOW ACCESS POINTS TRANSMIT ON WIRELESS COMMUNICATION CHANNEL SIMULTANEOUSLY

    公开(公告)号:US20190363764A1

    公开(公告)日:2019-11-28

    申请号:US16451218

    申请日:2019-06-25

    Abstract: Example method includes: receiving, by a first access point, a plurality of beamforming feedback frames from a plurality of client devices in a WLAN; overhearing, by the first access point, a first beamforming feedback frame from a second access point; calculating, by the first access point, a second beamforming feedback frame in response to receiving a sounding frame transmitted from the second access point in the WLAN; selecting, by the first access point, a first subset of the plurality of client devices and the second access point as members of a MU-MIMO group; changing, by the first access point, a steering matrix corresponding to the MU-MIMO group based on both the received plurality of beamforming feedback frames and the calculated beamforming feedback frame to allow the first access point and the second access point transmit on a particular wireless communication channel simultaneously without interfering each other.

    TWT based multi-connection mechanism

    公开(公告)号:US12096358B2

    公开(公告)日:2024-09-17

    申请号:US17599741

    申请日:2019-12-05

    CPC classification number: H04W52/0219 H04W76/15 H04W84/12

    Abstract: Systems, methods, and computer readable mediums for a TWT based multi-connection mechanism include sending, by a station, a first request for a first Target Wake Time (TWT) session with a first access point, wherein the first TWT session is established, determining, by the station and based on the first TWT session, a timing for a second TWT session such that a plurality of service periods of the first TWT session do not overlap with a plurality of service periods of the second TWT session, sending, by the station, a second request for the second Target Wake Time (TWT) session with a second access point, and wherein the second. TWT session is established, and receiving, by the station, data from the first AP during a service period of the first TWT session and data from the second AP during a service period of the second TWT session.

    SYSTEMS AND METHODS FOR ENHANCING MESH OVER WI-FI 6E

    公开(公告)号:US20230379801A1

    公开(公告)日:2023-11-23

    申请号:US18366062

    申请日:2023-08-07

    CPC classification number: H04W48/10 H04W84/18

    Abstract: Systems and methods are provided for multiple basic service set identifier (MBSSID) beaconing (from an access point (AP) standpoint) and MBSSID/virtual AP (VAP) scanning (from a client device perspective). To facilitate easier discovery of mesh APs/VAPs, BSSIDs associated with mesh VAPs can be advertised more frequently, e.g., being broadcast as a transmitted or non-transmitted BSSID in each MBSSID beacon. Additionally, information regarding mesh VAPs, such as mesh capability information, can be provided via intermediate discovery beacons or frames such that out-of-band scanning mechanisms can discover mesh VAPs faster. Additionally still, the existence of mesh VAPs can be advertised in a dedicated field of an MBSSID beacon.

    PERSISTENT TWT SESSIONS
    50.
    发明申请

    公开(公告)号:US20220174594A1

    公开(公告)日:2022-06-02

    申请号:US17599763

    申请日:2019-12-05

    Abstract: Systems, methods, and computer readable mediums for persistent TWT sessions include establishing, by an access point, a plurality of sessions with a plurality of stations, wherein one or more of the plurality of sessions comprise a target wake time (TWT), determining, by the access point, that a downtime event will occur before a TWT of a particular station of the plurality of stations, in response to the downtime event occurring during the TWT of the particular station, sending, by the access point, information associated with the plurality of sessions to a secondary device, after the downtime event, retrieving, by the access point, the information associated with the plurality of sessions from the secondary device, and reestablishing, by the access point using the information, the plurality of sessions.

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