Abstract: Systems and methods are provided for receiving a set of feature vectors. Each feature vector in the set may comprise feature values for a plurality of features associated with network communications. A first score for a first subset of the feature vectors that have at least one common feature value for a first feature of the plurality of features may be determined. A second score for a second subset of the feature vectors may be determined. The second subset may comprise the first subset and other feature vectors that have a different feature value for the first feature. Based on a change between the first score and the second score, whether to group the common feature value and the different feature value together may be determined.

Abstract: A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.

Abstract: Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.

Abstract: Disclosed herein are methods, systems, and apparatuses to enable subscribers of mobile wireless communication devices to view, research, select and customize service plans; to create and manage device groups, share and set permission controls for service plans among devices in device groups; to manage communication services through graphical user interfaces; to sponsor and promote service plans; and to design, manage, and control communication services through application programming interfaces.

Abstract: A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.

Abstract: An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.

Abstract: An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.

Abstract: Methods and apparatuses to manage service user discovery and service launch object placement on a device. A method comprising: obtaining information to assist in identifying a portion of a user interface of a wireless device, the wireless device communicatively coupled to a network system over a wireless access network; determining a differentiating attribute of the identified portion of the user interface; obtaining one or more service launch objects for placement in the identified portion of the user interface; and sending configuration information to the wireless device over the wireless access network to assist the wireless device in placing the one or more service launch objects in the identified portion of the user interface.

Abstract: A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

Abstract: Some of examples disclosed herein relate to classifying access points (APs). Some of the example may enable automatically classifying a set of APs based on at least one AP attribute of each AP in the set of APs, determining, based on the automatic classification, that a subset of APs in the set of APs are classified into a same class; and automatically determining a recommended configuration setting for the subset of APs.

Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

Abstract: Example implementations relate to adjusting power states of access points based on a power model. A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a client device being associated with an access point (AP) of a group of APs, determine: a first degree of performance being provided to the client device via a first radio of the AP of a group of APs; and a second degree of performance to be provided to the client device via a second radio of the group of APs, if the client device is provided a network connectivity via the second radio; determine, based on the first degree of performance and the second degree of performance, a subset of the group of APs whose power state is adjustable to a different power state; and adjust a power state of the subset of the group of APs.

Abstract: Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.

Abstract: Some of examples disclosed herein relate to classifying access points (APs). Some of the example may enable automatically classifying a set of APs based on at least one AP attribute of each AP in the set of APs, determining, based on the automatic classification, that a subset of APs in the set of APs are classified into a same class; and automatically determining a recommended configuration setting for the subset of APs.

Abstract: In some examples, a system generates event records representing anomalous events associated with respective devices in a network, each respective anomalous event of the anomalous events being identified as anomalous for a respective context of a device of the devices. The system clusters the event records to produce a plurality of clusters of the event records. The system outputs the plurality of clusters for application of a remediation of an issue in the network.

Abstract: Methods and apparatuses to manage service user discovery and service launch object placement on a device. A method comprising: obtaining information to assist in identifying a portion of a user interface of a wireless device, the wireless device communicatively coupled to a network system over a wireless access network; determining a differentiating attribute of the identified portion of the user interface; obtaining one or more service launch objects for placement in the identified portion of the user interface; and sending configuration information to the wireless device over the wireless access network to assist the wireless device in placing the one or more service launch objects in the identified portion of the user interface.

Abstract: Systems and methods are disclosed for generating a client device fingerprint model and identifying client devices using the model. Identifying client devices includes monitoring traffic transmitted over a wireless network to an unknown first client device, the traffic using at least one value of at least one wireless network operational parameter; determining, for each at least one value of the at least one wireless network operational parameter, a respective probability of successful packet reception at the first client device; comparing each probability to a data model representing probabilities of successful packet reception at each of a plurality of known second client devices for each of a plurality of values of the wireless network operational parameter; and associating at least one of the labels of the second client devices with the first client device based on the compare.

Abstract: A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.

Abstract: An example method for altering a transmission rate of a networking device. The example method comprises transmitting a first set of packets using first transmission characteristics represented by a first state of a finite state machine. The example method further comprises receiving information including a success status of transmission of the first set of packets. The example method also comprises updating, based on the received information, a weight of a first edge of the finite state machine, the first edge corresponding to a transition from a state representing prior transmission characteristics to the first state.

Abstract: A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.