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: A device may include one or more processors. The device may receive, via a plurality of data streams of a front haul link, a set of packets including information for transmission via an air interface. The set of packets may be associated with a data prioritization relating to transmission via the air interface. The set of packets may include information of a time-frequency resource element array. The device may reconstruct a set of time-frequency resource elements of the time-frequency resource element array based on the data prioritization of the set of packets. The device may transmit, via the air interface, the time-frequency resource element array.

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 multiple pass geolocation are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for multiple pass geolocation. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured to conduct a first geolocation pass to identify one or more geolocation estimates under consideration. The one or more processors may also be configured to conduct at least one additional geolocation pass to refine one or more geolocation estimates under consideration. The one or more processors may further be configured to determine an approximate location of one or more mobile devices within an estimated coverage area of a network based on at least the first geolocation pass and the at least one additional geolocation pass.

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 mobile wireless communication device, for example a cellular handset, for selecting communication services and methods therefore, based on user specified communication objectives related to characteristics of communications executed by the device. The user specified characteristics are used to assess a plurality of communication services by comparing the specified characteristic with corresponding service characteristics of each of a plurality of available communication services. A communication service is selected from the plurality of communication services having service characteristics that correlate most closely with the specified characteristics of the communication executed by the device.

Abstract: In a mobile cellular communication system, adjacent basestations BS1-BS4 are assigned different selections of different frequency channels to communicate with mobiles in their cells (10, etc.). To improve system quality and capacity, a basestation selects a frequency channel which is not assigned to it or any neighbour station, and makes test communications on that frequency channel with mobiles (e.g. MS1) in its cell. The basestation assesses the potential performance of that frequency channel, and neighbour basestations can monitor for potential interference on that frequency channel. The information so gathered can be analysed by an operations maintenance station OMC.