Abstract: At least one embodiment relates to a method for controlling a wireless access point, including receiving, from a target wireless access point, management data representative of, for respective wireless end points associated with the target wireless access point, a received signal strength and a number of retransmissions, and IDs associated with neighboring wireless access points detected by the target wireless access point; identifying at least one wireless end point affected by a hidden node problem in function of the corresponding received signal strength and the number of retransmissions; identifying at least one potential hidden node in function of a channel used and a received signal strength of the detected neighboring wireless access points; and identifying a hidden node wireless access point based on the wireless access points detected by the wireless end point identified as affected by a hidden node problem and the identified potential hidden node.

Abstract: The partitioning method includes determining for each access point of access points a centrality parameter based on the obtained neighbour information, and partitioning access points into a first management cluster and at least one further management cluster by including in the first management cluster a first access point as a primary member, the first access point having the highest centrality parameter, and any neighbouring access point of the first access point as a secondary member; and for each further access point of points except the first access point, in order of descending centrality parameter, forming a further management cluster by including in the further management cluster the respective further access point as the primary member and, as one of the secondary members, any neighbouring access point sensed by the respective further access point which has not been included as one of the secondary members in another management cluster.

Abstract: A system determines Wi-Fi coverage of the Wi-Fi extender located at a current location and at candidate locations in a home network; determines coverage of a power-line extender located at a power-line current location and at a power-line extender candidate location in the home network; and repositions the power-line extender to the power-line extender candidate location when the coverage exceeds coverage at the power-line current location.

Abstract: A method of automating assessment of a network's QoE includes receiving a first number of quality of service, QoS, metrics, wherein the first number of QoS metrics pertains to a QoS of the network at a first moment in time; receiving, from a reference device subject to the QoE of the network, a first number of quality of experience, QoE, metrics, wherein the first number of QoE metrics pertains to the QoE of the network at a second moment in time, wherein a time difference between the first moment and the second moment is less than a time threshold; and based on the first number of QoS metrics and the first number of QoE metrics, determining a mapping relationship from at least a subset of the first number of QoS metrics to at least a subset of the first number of QoE metrics, using a machine learning technique.

Abstract: At least one embodiment relates to a method for controlling a wireless access point, including receiving, from a target wireless access point, management data representative of, for respective wireless end points associated with the target wireless access point, a received signal strength and a number of retransmissions, and IDs associated with neighboring wireless access points detected by the target wireless access point; identifying at least one wireless end point affected by a hidden node problem in function of the corresponding received signal strength and the number of retransmissions; identifying at least one potential hidden node in function of a channel used and a received signal strength of the detected neighboring wireless access points; and identifying a hidden node wireless access point based on the wireless access points detected by the wireless end point identified as affected by a hidden node problem and the identified potential hidden node.

Abstract: A system determines Wi-Fi coverage of the Wi-Fi extender located at a current location and at candidate locations in a home network; determines coverage of a power-line extender located at a power-line current location and at a power-line extender candidate location in the home network; and repositions the power-line extender to the power-line extender candidate location when the coverage exceeds coverage at the power-line current location.