Abstract:
To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract:
A method, computer-readable storage device and apparatus for quantifying a total number of customers impacted by a cellular tower outage are disclosed. For example, the method monitors a plurality of cellular towers, detects a failure of one of the plurality of cellular towers, identifies a subset of the plurality of cellular towers that are included in an affected region, calculates a number of additional customers served by each one of the subset of the plurality of cellular towers that are included in the affected region due to the failure of the one cellular tower, and quantifies the total number of customers impacted by the failure of the one cellular tower by adding the number of additional customers served by the each one of the subset of the plurality of cellular towers that are included in the affected region.
Abstract:
To efficiently mitigate cell coverage disruptions caused by either unplanned equipment failures or planned outages during maintenance activities, an efficient cell site outage mitigation system is provided to calculate an optimal configuration for neighboring cell site devices before adjusting the cell site configuration settings to cover the coverage gap. The optimal configuration is determined using an offline model learner. Radio frequency propagation models and user demand and distribution models can be used to determine the offline solution. The optimal configuration setting learnt using an offline model is then implemented when an outage is determined to have occurred in the operational field.
Abstract:
A technique for monitoring performance in a network uses passively monitored traffic data at the server access routers. The technique aggregates performance metrics into clusters according to a spatial hierarchy in the network, and then aggregates performance metrics within spatial clusters to form time series of temporal bins. Representative values from the temporal bins are then analyzed using an enhanced Holt-Winters exponential smoothing algorithm.
Abstract:
Aspects of the subject disclosure may include, for example, detecting an interruption of a supply of operating power to a cell site of a cellular communication network, estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information of an operator of the cellular communication network, determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site, and initiating a communication to dispatch the portable generator. Other embodiments are disclosed.
Abstract:
The described technology is generally directed towards cellular communication network sleep management. A central network automation platform can control sleep settings deployed to radio access network nodes that support the cells of the cellular communication network. The network automation platform can collect cell configuration data and can use the cell configuration data to determine sleep settings for sleep-eligible cells. The network automation platform can furthermore monitor performance of the sleep-eligible cells and neighbor cells to determine whether the sleep settings have led to degraded performance.
Abstract:
The described technology is generally directed towards cellular communication network sleep management. A central network automation platform can control sleep settings deployed to radio access network nodes that support the cells of the cellular communication network. The network automation platform can collect cell configuration data and can use the cell configuration data to determine sleep settings for sleep-eligible cells. The network automation platform can furthermore monitor performance of the sleep-eligible cells and neighbor cells to determine whether the sleep settings have led to degraded performance.
Abstract:
Aspects of the subject disclosure may include, for example, detecting an interruption of a supply of operating power to a cell site of a cellular communication network, estimating an estimated time to restoration (ETR) of the supply of operating power to the cell site, wherein the estimating is based on information of an operator of the cellular communication network, determining, based in part on the ETR, to dispatch a portable generator to the cell site to provide a new supply of operating power to the cell site, and initiating a communication to dispatch the portable generator. Other embodiments are disclosed.
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.