NETGEAR, INC.

Introduced here are approaches to mitigating the desensitization and intermodulation effects that can affect telecommunication performance of multiband electronic devices. Specifically, the present disclosure outlines an approach to mitigating the coexistence effect at the system level using tunable filters that are implemented or controlled via software.

A method includes obtaining a set of wireless statistics of a wireless communication device and a set of hardware-related information of the wireless communication device. The method further includes determining a set of test results of a testbed system based on the set of wireless statistics and the set of hardware-related information by configuring the testbed system based on the set of wireless statistics and the set of hardware-related information. The method further includes updating a set of decision parameters of a wireless configuration decision model using a machine learning model based on the set of test results. The method further includes sending the updated set of decision parameters to the wireless communication device, wherein the wireless communication device configures a wireless configuration parameter based on an instance of the wireless configuration decision model configured with the updated set of decision parameters.

Apparatuses and systems for Wi-Fi 6E enhancement in contention-based protocol are disclosed. The disclosed methods enable a Wi-Fi 6E system to transmit a Channel Switch Announcement (CSA) to enhance the Wi-Fi performance. The disclosed systems preclude bandwidth reduction and interrupted transmission, which can occur using traditional methods.

Apparatuses and systems for Wi-Fi 6E enhancement in contention-based protocol are disclosed. The disclosed methods enable a Wi-Fi 6E system to transmit a Channel Switch Announcement (CSA) to enhance the Wi-Fi performance. The disclosed systems preclude bandwidth reduction and interrupted transmission, which can occur using traditional methods.

A system includes a sensor platform, a motor capable of moving the sensor platform, a set of interfaces to receive messages from a set of mobile computing devices attached to the sensor platform, and a circuitry attached to the sensor platform in communication with the motor. A method may include obtaining a path that traverses a region that receives wireless signals from at least one access point of a plurality of access points and controlling the motor to move the sensor platform along the path. The method may include collecting a set of wireless signal values and determining whether the set of wireless signal values satisfy a set of anomaly criteria at a location of the sensor platform. The method may include stopping the motor at a location associated with the satisfaction of the set of anomaly criteria and storing the location in a set of locations.

Apparatuses, methods, and systems for client steering in mesh networks are disclosed. A first access point (AP) of a network sends a quality of service (QoS) data packet to a client device. A received signal strength indication (RSSI) of the client device is captured using the QoS data packet. A distance between the AP and client device is determined using a Wi-Fi round trip time. A time and day of week is determined. Using machine learning, a second AP is identified for steering the client device to, based on the RSSI, the distance, and the time and day of week. A machine learning model is trained to steer each client device to a respective AP for increasing a throughput of the network based on features extracted from client behavior of the client devices. The second AP is connected to the client device.

A method includes obtaining a set of wireless statistics of a wireless communication device and a set of hardware-related information of the wireless communication device. The method further includes determining a set of test results of a testbed system based on the set of wireless statistics and the set of hardware-related information by configuring the testbed system based on the set of wireless statistics and the set of hardware-related information. The method further includes updating a set of decision parameters of a wireless configuration decision model using a machine learning model based on the set of test results. The method further includes sending the updated set of decision parameters to the wireless communication device, wherein the wireless communication device configures a wireless configuration parameter based on an instance of the wireless configuration decision model configured with the updated set of decision parameters.

Techniques, apparatuses, and systems for throughput estimation for a wireless device are disclosed. Throughput estimation includes generating network traffic for transmission between two nodes. The first node transmits the network traffic to the second node. The first node receives an acknowledgement from the second node that indicates successful receipt of the network traffic. The first node determines an amount of data successfully transmitted between the two nodes based on the reception of the acknowledgement. A throughput estimate is determined based on the amount of data successfully transmitted between the two nodes.

Apparatuses, methods, and systems for client steering in mesh networks are disclosed. A first access point (AP) of a network sends a quality of service (QoS) data packet to a client device. A received signal strength indication (RSSI) of the client device is captured using the QoS data packet. A distance between the AP and client device is determined using a Wi-Fi round trip time. A time and day of week is determined. Using machine learning, a second AP is identified for steering the client device to, based on the RSSI, the distance, and the time and day of week. A machine learning model is trained to steer each client device to a respective AP for increasing a throughput of the network based on features extracted from client behavior of the client devices. The second AP is connected to the client device.

An adjustable mounting bracket is configured to be adjusted between multiple positions to accommodate electronic devices having different lengths. The mounting bracket includes a main plate that is adjustable relative to a slide plate. Each of the main plate and the slide plate has an attachment point for attachment to an electronic device. More specifically, the main plate may include one or more ridges having a slot formed therein with multiple spaced detents. A screw may be releasably inserted into a desired detent in order to secure the main plate to the slide in a desired configuration. A twist clip may be provided for releasably securing the adjustable bracket to a T-bar.