Netgear, Inc.

Fernando Lozano

Deeksha Kamath

Yu Te Lin

Sreekar Adapa

Chunyi Guo

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.

Intelligent client steering in mesh networks

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.

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Woodside, CA, United States of America

Fernando Lozano