Abstract: A device may detect a service condition associated with a network. The device may determine a prioritization of cells of the network based on characteristics of one or more subscribers to the cells of the network. The characteristics may include at least one of: a service type characteristic, an application type characteristic, a mobility characteristic, a vector characteristic, an altitude characteristic, a position characteristic, a location type characteristic, a device type characteristic, a device capability characteristic, a connection characteristic, a subscription characteristic, a call type characteristic, a user profile characteristic, a terrain characteristic, or an operator relationship characteristic. The device may perform an alteration to one or more network parameters based on the prioritization of cells of the network to reduce an impact of the service condition.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for network optimization. The system may comprise a data collection system configured to collect geolocated subscriber records from a plurality of mobile devices. The system may also comprise a SON optimization system communicatively coupled to the data collection system via a network. The SON optimization system may comprise at least one pre-processor configured to receive and process geolocated subscriber records from the data collection system. The SON optimization system may further comprise a network simulator configured to perform network simulation analysis based on the processed geolocated subscriber records, and provide a new network configuration based on the network simulation analysis, wherein the new network configuration is estimated to improve network performance.

Abstract: A device receives subscriber records for mobile devices associated with a mobile network, and receives performance data associated with the mobile network in near real time. The performance data includes one or more of performance management statistics, call trace data associated with the subscriber records, and geolocated subscriber records for the mobile devices. The device stores the geolocated subscriber records with other types of data in an asynchronous manner, and receives configuration data associated with the mobile network and indicating a topology of the mobile network. The device identifies, based on at least one of the topology and the performance data, a desired topology of the mobile network. The desired topology is predicted to achieve at least one of improved network performance or alignment with a network design policy.

Abstract: Techniques for estimating a coverage area for a distributed antenna system (DAS) or a repeater system are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for estimating a coverage area for a distributed antenna system (DAS) or a repeater system. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to identify a sector as being a base station sector that deploys a distributed antenna system (DAS) or a repeater system. The one or more processors may also be configured to determine an approximate location for one or more antennas deployed by the distributed antenna system (DAS) or the repeater system. The one or more processors may further be configured to construct an estimated coverage area for the base station sector that deploys the distributed antenna system (DAS) or the repeater system.

Abstract: A device may detect a service condition associated with a network. The device may determine a prioritization of cells of the network based on characteristics of one or more subscribers to the cells of the network. The characteristics may include at least one of: a service type characteristic, an application type characteristic, a mobility characteristic, a vector characteristic, an altitude characteristic, a position characteristic, a location type characteristic, a device type characteristic, a device capability characteristic, a connection characteristic, a subscription characteristic, a call type characteristic, a user profile characteristic, a terrain characteristic, or an operator relationship characteristic. The device may perform an alteration to one or more network parameters based on the prioritization of cells of the network to reduce an impact of the service condition.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for improving performance of a mobile communications network. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to determine allowable changes within a network and rank a cell or parameter based on a priority rule. The one or more processors may be further be configured to generate a plurality of network configurations and evaluate strength of the plurality of network configurations. The one or more processors may also be configured to output a set of network configurations that is strongest among the plurality of network configurations.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for network optimization. The system may comprise a data collection system configured to collect geolocated subscriber records from a plurality of mobile devices. The system may also comprise a SON optimization system communicatively coupled to the data collection system via a network. The SON optimization system may comprise at least one pre-processor configured to receive and process geolocated subscriber records from the data collection system. The SON optimization system may further comprise a network simulator configured to perform network simulation analysis based on the processed geolocated subscriber records, and provide a new network configuration based on the network simulation analysis, wherein the new network configuration is estimated to improve network performance.

Abstract: A device receives subscriber records for mobile devices associated with a mobile network, and receives performance data associated with the mobile network in near real time. The performance data includes one or more of performance management statistics, call trace data associated with the subscriber records, and geolocated subscriber records for the mobile devices. The device stores the geolocated subscriber records with other types of data in an asynchronous manner, and receives configuration data associated with the mobile network and indicating a topology of the mobile network. The device identifies, based on at least one of the topology and the performance data, a desired topology of the mobile network. The desired topology is predicted to achieve at least one of improved network performance or alignment with a network design policy.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for network optimization. The system may comprise a data collection system configured to collect geolocated subscriber records from a plurality of mobile devices. The system may also comprise a SON optimization system communicatively coupled to the data collection system via a network. The SON optimization system may comprise at least one pre-processor configured to receive and process geolocated subscriber records from the data collection system. The SON optimization system may further comprise a network simulator configured to perform network simulation analysis based on the processed geolocated subscriber records, and provide a new network configuration based on the network simulation analysis, wherein the new network configuration is estimated to improve network performance.

Abstract: Techniques for estimating a coverage area for a distributed antenna system (DAS) or a repeater system are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for estimating a coverage area for a distributed antenna system (DAS) or a repeater system. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to identify a sector as being a base station sector that deploys a distributed antenna system (DAS) or a repeater system. The one or more processors may also be configured to determine an approximate location for one or more antennas deployed by the distributed antenna system (DAS) or the repeater system. The one or more processors may further be configured to construct an estimated coverage area for the base station sector that deploys the distributed antenna system (DAS) or the repeater system.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for improving performance of a mobile communications network. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to determine allowable changes within a network and rank a cell or parameter based on a priority rule. The one or more processors may be further be configured to generate a plurality of network configurations and evaluate strength of the plurality of network configurations. The one or more processors may also be configured to output a set of network configurations that is strongest among the plurality of network configurations.

Abstract: Techniques for dynamic network optimization using geolocation and network modeling are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for network optimization. The system may comprise a data collection system configured to collect geolocated subscriber records from a plurality of mobile devices. The system may also comprise a SON optimization system communicatively coupled to the data collection system via a network. The SON optimization system may comprise at least one pre-processor configured to receive and process geolocated subscriber records from the data collection system. The SON optimization system may further comprise a network simulator configured to perform network simulation analysis based on the processed geolocated subscriber records, and provide a new network configuration based on the network simulation analysis, wherein the new network configuration is estimated to improve network performance.

Abstract: A device receives subscriber records for mobile devices associated with a mobile network, and receives performance data associated with the mobile network in near real time. The performance data includes one or more of performance management statistics, call trace data associated with the subscriber records, and geolocated subscriber records for the mobile devices. The device stores the geolocated subscriber records with other types of data in an asynchronous manner, and receives configuration data associated with the mobile network and indicating a topology of the mobile network. The device identifies, based on at least one of the topology and the performance data, a desired topology of the mobile network. The desired topology is predicted to achieve at least one of improved network performance or alignment with a network design policy.

Abstract: Techniques for estimating a coverage area for a distributed antenna system (DAS) or a repeater system are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for estimating a coverage area for a distributed antenna system (DAS) or a repeater system. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to identify a sector as being a base station sector that deploys a distributed antenna system (DAS) or a repeater system. The one or more processors may also be configured to determine an approximate location for one or more antennas deployed by the distributed antenna system (DAS) or the repeater system. The one or more processors may further be configured to construct an estimated coverage area for the base station sector that deploys the distributed antenna system (DAS) or the repeater system.

Abstract: Techniques for estimating a coverage area for a distributed antenna system (DAS) or a repeater system are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for estimating a coverage area for a distributed antenna system (DAS) or a repeater system. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to identify a sector as being a base station sector that deploys a distributed antenna system (DAS) or a repeater system. The one or more processors may also be configured to determine an approximate location for one or more antennas deployed by the distributed antenna system (DAS) or the repeater system. The one or more processors may further be configured to construct an estimated coverage area for the base station sector that deploys the distributed antenna system (DAS) or the repeater system.