Abstract: Techniques are presented herein for provisioning network devices based on device type. In one example, a packet core gateway of a cellular core network identifies a device type of a network device and obtains an indication to provision the network device. In response to obtaining the indication to provision the network device, the packet core gateway provisions the network device with one or more network resources based on the device type of the network device.

Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network. The methodology includes identifying: event sequences within network traffic data; filtering out a subset of the event sequences based on characteristics of the subset of the event sequences; generating definition groups by performing clustering on the subset of the event sequences, the definition groups comprising event sequence characteristics associated with one or more network issues; first simulating the subset of the event sequences; generating, based on results of the first simulating, a first issue identification; second simulating a most recent one of the identified event sequences; generating, based on results of the second simulating and the generated definition groups, a second issue identification; and validating the first issue identification with the second issue identification.

Abstract: Techniques are presented herein for provisioning network devices based on device type. In one example, a packet core gateway of a cellular core network identifies a device type of a network device and obtains an indication to provision the network device. In response to obtaining the indication to provision the network device, the packet core gateway provisions the network device with one or more network resources based on the device type of the network device.

Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network.

Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network.

Abstract: Systems, methods and computer-readable storage media are provided for detecting and simulating issues in a network.

Abstract: Predicting data throughput with a user device comprises a wireless system supported by wireless access points receiving signals from the user device. A wireless prediction system receives data from the wireless system, where the data comprises characteristics of the wireless access point, characteristics of communications with user computing devices, and data throughput statistics. The prediction system categorizes the received data based on one or more of a set of characteristics and determines a maximum data throughput capacity for each of the one or more wireless access points for each of the one or more set of characteristics. The system receives a request for a prediction of data throughput capacity for a particular wireless access point and, based on the characteristics of the particular wireless access point, determines an estimated data throughput capacity based on data throughputs of wireless access points having similar characteristics.

Abstract: In one embodiment, a device in a network determines behavioral profiles of a plurality of nodes in the network. The behavioral profile for a particular node indicates whether the node is an occasional transmitter or a periodic transmitter. The device identifies similarly behaving nodes based on their behavioral profiles. The device assigns groups of the nodes to uplink transmission windows based on their behavioral profiles. The similarly behaving nodes that are periodic transmitters are assigned to the same uplink transmission windows and similarly behaving nodes that are occasional transmitters are assigned to different uplink transmission windows. The device controls the plurality of nodes to use their assigned uplink transmission windows via target wake time values sent to the plurality of nodes.

Abstract: In one embodiment, a device in a wireless network receives an association request sent by a node to associate with the network. The association request comprises a media access control (MAC) address of the node. The device obtains a serial number or manufacturer identifier of the node. The device establishes a secure connection between the node and the network using a temporal pre-shared key (PSK) based on the serial number or manufacturer identifier of the node. The device sends a second PSK to the node via the secure connection. The second PSK is unique in the network to the node and the node uses the second PSK for future communications with the network.

Abstract: In one embodiment, a device in a network determines behavioral profiles of a plurality of nodes in the network. The behavioral profile for a particular node indicates whether the node is an occasional transmitter or a periodic transmitter. The device identifies similarly behaving nodes based on their behavioral profiles. The device assigns groups of the nodes to uplink transmission windows based on their behavioral profiles. The similarly behaving nodes that are periodic transmitters are assigned to the same uplink transmission windows and similarly behaving nodes that are occasional transmitters are assigned to different uplink transmission windows. The device controls the plurality of nodes to use their assigned uplink transmission windows via target wake time values sent to the plurality of nodes.

Abstract: Predicting data throughput with a user device comprises a wireless system supported by wireless access points receiving signals from the user device. A wireless prediction system receives data from the wireless system, where the data comprises characteristics of the wireless access point, characteristics of communications with user computing devices, and data throughput statistics. The prediction system categorizes the received data based on one or more of a set of characteristics and determines a maximum data throughput capacity for each of the one or more wireless access points for each of the one or more set of characteristics. The system receives a request for a prediction of data throughput capacity for a particular wireless access point and, based on the characteristics of the particular wireless access point, determines an estimated data throughput capacity based on data throughputs of wireless access points having similar characteristics.