Abstract: An event-based analytics tool can obtain, from a data lake, an instance of correlated event data including a first event from a first network device, a second event from a second network device, and data correlating the first event to the second event. The event-based analytics tool can obtain PCAP data from a troubleshooting server via a first application programming interface. The event-based analytics tool can also obtain a log from a searchable log database via a second application programming interface. Based on the correlated event data, the packet capture data, and the log, the event-based analytics tool can generate a prediction model that can be used to predict a cause of a future event.

Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

Abstract: An event-based analytics tool can obtain, from a data lake, an instance of correlated event data including a first event from a first network device, a second event from a second network device, and data correlating the first event to the second event. The event-based analytics tool can obtain PCAP data from a troubleshooting server via a first application programming interface. The event-based analytics tool can also obtain a log from a searchable log database via a second application programming interface. Based on the correlated event data, the packet capture data, and the log, the event-based analytics tool can generate a prediction model that can be used to predict a cause of a future event.

Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

Abstract: Aspects of the subject disclosure may include, for example, receiving information defining a high-capacity event in a mobility network, receiving information defining a network location of the high-capacity event in the mobility network, automatically configuring one or more network components of the mobility network according to a set of high-capacity parameters, the one or more network components associated with the network location of the high-capacity event, limiting access to the mobile network to specific users according to the high-capacity parameters, and after the high-capacity event, automatically configuring the one or more network components of the mobile network according to a set of reversion parameters. Other embodiments are disclosed.

Abstract: An event-based analytics tool can obtain, from a data lake, an instance of correlated event data including a first event from a first network device a second event from a second network device, and data correlating the first event to the second event. The event-based analytics tool can obtain PCAP data from a troubleshooting server via a first application programming interface. The event-based analytics tool can also obtain a log from a searchable log database via a second application programming interface. Based on the correlated event data, the packet capture data, and the log, the event-based analytics tool can generate a prediction model that can be used to predict a cause of a future event.

Abstract: A processing system may apply a data set comprising utilization metrics of a cells of a cell sector to a throughput prediction model to obtain a first predicted throughput for the cell sector for a designated future time period and for all cells being in an active state. The processing system may generate a first modified data set simulating a first cell being placed in an inactive state, by distributing utilization metrics of the first cell over at least one additional cell, and may apply the first modified data set to the throughput prediction model to obtain a second predicted throughput. The processing system may then determine that the second predicted throughput meets a threshold throughput that is based on the first predicted throughput, and transmit at least one instruction to place the first cell in the inactive state for the designated future time period in response to the determining.

Abstract: The technologies described herein are generally directed to launching radio spectrum resources in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, confirming, by site launching equipment, installation of components of a base station, resulting in a confirmed installation. The method can further comprise, based on the confirmed installation, facilitating, by the site launching equipment, integrating the base station into a communications network. Further, in response to the integrating, launching, by the site launching equipment, operation of the base station for a testing of performance of the base station, the testing resulting in a tested base station. The method can further comprise activating, by the site launching equipment, the tested base station for use by authorized user equipment via the communications network.

Abstract: A method includes receiving fault management data and service quality management data from an integrated feedback control loop, wherein a first set of faults in the fault management data is correlated with service quality management data if a root cause of the first set of faults is known and wherein a second set of faults in the fault management data are categorized as silent faults if no root cause of the second faults is known, The silent faults in the fault management are correlated with the service quality management data. The disclosure includes prioritizing analysis of the silent faults that affect the service quality management data, and prioritizing repair of faults in the fault management data that affect the service quality management data.

Abstract: A method includes collecting operational data from a system, segregating the data into a first component comprising one or more service quality anomalies and a second component comprising one or more network-based events, correlating the first component and the second component to determine whether the one or more network-based events have an impact on service quality, and prioritizing a resolution of the network-based events that have an impact on service quality.

Abstract: A method includes collecting operational data from a system, segregating the data into a first component comprising one or more service quality anomalies and a second component comprising one or more network-based events, correlating the first component and the second component to determine whether the one or more network-based events have an impact on service quality, and prioritizing a resolution of the network-based events that have an impact on service quality.