Abstract: A method of processing data for at least one wireless communication network and a data processing system for implementing such a method are provided. The method comprises determining geolocation information for data segments received at a plurality of distributed components of a data processing system, the data segments being received from at least one network element of the wireless communication network, and forwarding the data segments to backend processing resources based at least partly on their respective geolocation information.

Abstract: A method and apparatus for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources. The method comprises, at each of a plurality of distributed components of a data processing system, receiving data from at least one network element of the cellular communication network, parsing the received data to extract a subset of the received data, and forwarding the extracted subset of data to the dynamic allocation backend processing resources for analytical processing of the extracted subset of data for the wireless communication network.

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: Communication session data from a mobile radio communications network (100) is processed to extract substantially all communication session data relating to calls in at least two sectors of the network. This processing occurs as the communication session data becomes available, thereby providing a stream of communication session data (210). From the stream of communication session data (210), a high priority data stream (220) is created. The high priority data steam (220) comprises a minority of the communication session data for each call in the at least two sectors of the network (100). Geolocation data (230) is produced for each call. An immediately accessible copy of both the high priority data stream (220) and the geolocation data (230) is provided, for each call.

Abstract: A method of managing data for at least one wireless communication network and a data management system for implementing such a method are provided. The method comprises determining at least one free space metric for at least one data storage device and comparing the at least one determined free space metric for the at least one data storage device to at least one threshold value. If the at least one determined free space metric for the at least one data storage device exceeds the at least one threshold value, the method further comprises identifying data object groups represented by data objects stored within the at least one data storage device, determining a retention priority value for each identified data object group, determining at least one data object group for which to retire data objects based at least partly on the determined retention priority values, and retiring data objects within the determined at least one data object group from the at least one data storage device.

Abstract: A method and apparatus for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources. The method comprises, at each of a plurality of distributed components of a data processing system, receiving data from at least one network element of the cellular communication network, parsing the received data to extract a subset of the received data, and forwarding the extracted subset of data to the dynamic allocation backend processing resources for analytical processing of the extracted subset of data for the wireless communication network.

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: A method of processing data for at least one wireless communication network and a data processing system for implementing such a method are provided. The method comprises determining geolocation information for data segments received at a plurality of distributed components of a data processing system, the data segments being received from at least one network element of the wireless communication network, and forwarding the data segments to backend processing resources based at least partly on their respective geolocation information.

Abstract: A method and apparatus for enabling near real time analysis of data for a wireless communication network using dynamic allocation backend processing resources. The method comprises, at each of a plurality of distributed components of a data processing system, receiving data from at least one network element of the cellular communication network, parsing the received data to extract a subset of the received data, and forwarding the extracted subset of data to the dynamic allocation backend processing resources for analytical processing of the extracted subset of data for the wireless communication network.

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: Communication session data from a mobile radio communications network (100) is processed to extract substantially all communication session data relating to calls in at least two sectors of the network. This processing occurs as the communication session data becomes available, thereby providing a stream of communication session data (210), From the stream of communication session data (210), a high priority data stream (220) is created. The high priority data steam (220) comprises a minority of the communication session data for each call in the at least two sectors of the network (100). Geolocation data (230) is produced for each call. An immediately accessible copy of both the high priority data stream (220) and the geolocation data (230) is provided, for each call.

Abstract: A data management system and method of managing call data for at least one radio network element within a cellular communication network. The method comprising receiving call data for at least one call from the at least one radio network element within the cellular communication network, arranging the received call data into call data records of a non-fixed size, and writing the call data records to at least one data storage device such that the call data records are stored adjacent one another.

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: Communication session data from a mobile radio communications network (100) is processed to extract substantially all communication session data relating to calls in at least two sectors of the network. This processing occurs as the communication session data becomes available, thereby providing a stream of communication session data (210). From the stream of communication session data (210), a high priority data stream (220) is created. The high priority data steam (220) comprises a minority of the communication session data for each call in the at least two sectors of the network (100). Geolocation data (230) is produced for each call. An immediately accessible copy of both the high priority data stream (220) and the geolocation data (230) is provided, for each call.

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 method and system for comparing network configuration data stored in a wireless communication network with parameters that depend on the physical configuration of the network is provided. Subscriber wireless communication devices operating in the network provide measurement data. From the measurement data, at least one first parameter is selected or derived, the first parameter depending on the physical configuration of the network. From network configuration data stored in the wireless communication network, at least one second parameter that corresponds to the at least one first parameter is selected. Any discrepancy between the values of the first and second parameters is then identified. Analysis of the discrepancies may reveal errors or omissions in the stored network configuration data, such as missing entries in the neighbors table for a cell site. Faults in the physical network may also be revealed.

Abstract: A data management system and method of managing call data for at least one radio network element within a cellular communication network. The method comprising receiving call data for at least one call from the at least one radio network element within the cellular communication network, arranging the received call data into call data records of a non-fixed size, and writing the call data records to at least one data storage device such that the call data records are stored adjacent one another.

Abstract: A data management system and method of managing call data for at least one radio network element within a cellular communication network. The method comprises receiving geolocation associated call data for at least one call within the at least one cellular communication network, arranging the received geolocation associated call data for the call into at least one call data record, and writing the at least one call data record to at least one data storage device, The geolocation associated call data for the at least one call comprises at least two spatial coordinate values for an at least two dimensional spatial reference, and the method comprises indexing the at least one call data record within the at least one data storage device using a single dimensional coordinate value.

Abstract: A method for geolocating a wireless communication unit. The method comprises receiving measurement data for radio frequency (RF) signals between the wireless communication unit and at least one base transceiver station, calculating an RF measurement based geolocation estimate for the wireless communication unit based at least partly on the received RF signal measurement data, obtaining geographical area data for at least one wireless coverage area visible to the wireless communication unit, determining a geolocation validation area based at least partly on the obtained geographical area data for the at least one wireless coverage area visible to the wireless communication unit, and deriving a confidence factor for the RF measurement based geolocation estimate based at least partly on the determined geolocation validation area.