Managing power consumption of a network

    公开(公告)号:US10827433B2

    公开(公告)日:2020-11-03

    申请号:US15720293

    申请日:2017-09-29

    Abstract: Examples provided herein describe a method for managing power consumption of a network. For example, a network device may monitor a set of network area zones of a network coverage area, where each network area zone is associated with a set of edge devices. A first occupancy state may be determined for a first network area zone of the set of network area zones based on usage of a first set of edge devices of the first network area zone. Based on the determined first occupancy state, a first power consumption policy for the first network area zone may be determined. Responsive to determining the first power consumption policy, the determined first power consumption policy may be applied to the first set of edge devices in the first network area zone at least edge changing a power consumption mode of a first edge device in the first set of edge devices.

    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.

    WAVEFORM MODEL
    24.
    发明申请
    WAVEFORM MODEL 审中-公开

    公开(公告)号:US20190128997A1

    公开(公告)日:2019-05-02

    申请号:US15795883

    申请日:2017-10-27

    Abstract: An access point may include a radio. The radio may receive a waveform, and the waveform may comprise a plurality of pulses. The access point may further include a hardware processor coupled to the radio. The hardware processor may determine a model of the received waveform. Determining a model of the received waveform may include extracting a plurality of characteristics corresponding to the received waveform, determining a plurality of parameters, wherein each of the plurality of parameters is based on a corresponding characteristic of the plurality of characteristics, and constructing an output waveform model based on the plurality of parameters, wherein the output waveform model corresponds to the received waveform. The hardware processor may further transmit the output waveform model to the hardware processor as an input waveform, wherein the input waveform is to tune the model. Moreover, the access point may include a dynamic frequency switching (DFS) module coupled to the hardware processor to receive the output waveform model.

    Intelligent scheduling of Wi-Fi services for applications

    公开(公告)号:US11632773B2

    公开(公告)日:2023-04-18

    申请号:US17342142

    申请日:2021-06-08

    Abstract: Embodiments are directed to intelligent scheduling of Wi-Fi services for applications. An embodiment of computer-readable storage mediums includes instructions for receiving data packets from multiple connected devices at a wireless access point and identifying an application traffic flow for each data packet; assigning each data packet to a respective queue of a first set of queues based on an identified application traffic flow for each data packet; selecting data packets from the first set of queues based on priorities for each of multiple applications; generating prioritized candidate lists for selected data packets in a second set of queues, each queue being dedicated for an access category for one or more application; and scheduling data packets from the candidate lists, including selecting a transmission mode for each access category based on characteristics of the one or more applications.

    Dynamic radar detection threshold for stateful dynamic frequency selection

    公开(公告)号:US11543510B2

    公开(公告)日:2023-01-03

    申请号:US16890096

    申请日:2020-06-02

    Abstract: Embodiments are directed to a dynamic radar detection threshold for stateful dynamic frequency selection (DFS). An embodiment of a storage medium includes instructions to operations including estimate a duty time of transmission of wireless signals by an access point, the access point to provide Wi-Fi communication, the wireless signals being communicated on a DFS channel of the access point, adapt, based at least in part on the duty time of transmission, a threshold of radar signals to indicate detection of a radar signal at the access point on the DFS channel, and perform analysis of received wireless signals on the DFS channel at the access point to detect the radar signal using the adapted threshold of radar signals.

    TWT BASED MULTI-CONNECTION MECHANISM

    公开(公告)号:US20220159571A1

    公开(公告)日:2022-05-19

    申请号:US17599741

    申请日:2019-12-05

    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.

    DYNAMIC RADAR DETECTION THRESHOLD FOR STATEFUL DYNAMIC FREQUENCY SELECTION

    公开(公告)号:US20210373143A1

    公开(公告)日:2021-12-02

    申请号:US16890096

    申请日:2020-06-02

    Abstract: Embodiments are directed to a dynamic radar detection threshold for stateful dynamic frequency selection (DFS). An embodiment of a storage medium includes instructions to operations including estimate a duty time of transmission of wireless signals by an access point, the access point to provide Wi-Fi communication, the wireless signals being communicated on a DFS channel of the access point, adapt, based at least in part on the duty time of transmission, a threshold of radar signals to indicate detection of a radar signal at the access point on the DFS channel, and perform analysis of received wireless signals on the DFS channel at the access point to detect the radar signal using the adapted threshold of radar signals.

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