MACHINE LEARNING COORDINATED WIRELESS NETWORKING

    公开(公告)号:US20180103408A1

    公开(公告)日:2018-04-12

    申请号:US15464135

    申请日:2017-03-20

    Applicant: NETGEAR, INC.

    Abstract: The disclosed methods and systems use artificial intelligence (AI) and machine learning (ML) technologies to model the usage and interference on each channel. For example, units of the system can measure channel interference regularly over the time of day on all radios. The interference information is communicated to the base unit or a cloud server for pattern analysis. Interference measurements include interference from units within the system as well as interference from nearby devices. The base unit or the cloud server can recognize the pattern of the interference. Further, connected devices have a number of network usage characteristics observed and modeled including bitrate, and network behavior. These characteristics are used to assign channels to connected devices.

    CONTROLLING CHANNEL USAGE IN A WIRELESS NETWORK

    公开(公告)号:US20180103404A1

    公开(公告)日:2018-04-12

    申请号:US15643292

    申请日:2017-07-06

    Applicant: NETGEAR, INC.

    Abstract: Methods, apparatuses, and embodiments related to a technique for controlling channel usage in a wireless network in a multi-band wireless networking system. In a wireless network with multiple wireless networking devices and one or more client devices, communications between the wireless networking devices occurs via a backhaul channel, and communication between the client(s) and the wireless networking devices occurs via a fronthaul channel. Based on interference characteristics of the wireless channels, a device determines a channel usage plan, and communicates the plan via the backhaul channel to the wireless networking devices of the wireless network.

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