Abstract: A device may perform an iteration of an optimization procedure. The device may apply a smoothing technique to a value relating to the optimization procedure after performing the iteration of the optimization procedure. The device may selectively terminate the optimization procedure based on applying the smoothing technique to the value relating to the optimization procedure. The device may provide information identifying a result of the optimization procedure based on selectively terminating the optimization procedure.

Abstract: The invention relates to an asynchronous wireless communication system, such as a UMTS system. The various base stations of an asynchronous wireless communication system do not typically have known timing offsets Tb(i), and these timing offsets vary with time. The invention allows the calculation of the difference dTb(i,j) between timing offsets Tb(i), Tb(j) for pairs of base stations B(i), B(j), using the timing of signals received by one or more wireless communication units. Having eliminated the timing offsets between the base stations as a variable, geo-location techniques from synchronous networks may then be used to locate wireless communication units in the asynchronous wireless communication 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: 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: The invention relates to an asynchronous wireless communication system, such as a UMTS system. The various base stations of an asynchronous wireless communication system do not typically have known timing offsets Tb(i), and these timing offsets vary with time. The invention allows the calculation of the difference dTb(i,j) between timing offsets Tb(i), Tb(j) for pairs of base stations B(i), B(j), using the timing of signals received by one or more wireless communication units. Having eliminated the timing offsets between the base stations as a variable, geo-location techniques from synchronous networks may then be used to locate wireless communication units in the asynchronous wireless communication system.

Abstract: Techniques for improved allocation of network resources using geolocation and handover management are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for optimizing 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 identify a neighbors table comprising a handover priority list of target base stations prioritized based on relative signal strength or quality of service of the target base stations apparent to mobile devices in a footprint of a source base station. The one or more processors may also be configured to determine a non-obvious handover plan based on at least one of geolocation data of a mobile device, user information associated with the mobile device, and network resources data.

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: A device obtains uplink information associated with a base station and obtains downlink information associated with a mobile device in communication with the base station. The device determines observed network performance information based on the uplink information and the downlink information and determines a predictive model, based on the uplink information and the downlink information, to predict network performance information. The device also changes network configuration data, associated with the base station, to generate changed network configuration data and determines predicted network performance information for the changed network configuration data based on the predictive model. The device further selectively transmits the changed network configuration data, to the base station, based on comparing the predicted network performance information and the observed network performance information.

Abstract: A device may determine a set of orientations or relative displacements at a set of locations. The set of locations may include at least a first location and a second location. The device may determine a set of sensor measurements relating to one or more measurable parameters at the set of locations. The device may determine, based on the set of orientations or relative displacements at the set of locations and the set of sensor measurements relating to the one or more measurable parameters at the set of locations, a path relating to the set of locations. The device may perform an action based on determining the path.

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 mobile network geolocation are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for mobile network 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 determine that a mobile device is on a travel path. The one or more processors may also be configured to determine one or more candidate locations of the mobile device based on data associated with the travel path. The one or more processors may further be configured to determine at least one candidate route associated with the mobile device along the travel path comprised from one or more candidate locations.

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: 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 method and apparatus for generating reference signatures for use in geolocation in a cellular wireless communication system is provided. A first signature for a mobile communication unit comprises location information, a timestamp, and radio frequency measurement information obtained by a mobile communication unit at a location, but does not contain identification information for the mobile communication unit. The first signature is compared to signatures in a database, to identify a second signature that has a timestamp and radio frequency measurement information that correspond to those of the first signature. A reference signature is created by combining at least a part of the first signature with at least a part of the second signature. Repetition of the comparison and combination steps creates a database of reference signatures, for use in geolocating other received call signatures.

Abstract: A method for geo-location of a wireless communication unit (410) is provided. The communication unit (410) communicates with a wireless communication network (430) of a wireless communication system (400). A probability density function is derived for the location of the wireless communication unit (410), from measured information and/or information about the wireless communication network (430). The probability density function is sampled to provide spatial and probability information about each of at least two possible locations for the wireless communication unit (410). A wireless communication system (400) and a method of selecting enhancements to a wireless communication system (400) are also provided.

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: A device may obtain event information regarding a set of user equipment. The device may determine a first location for a particular user equipment, of the set of user equipment, based on the event information and a stored set of parameters. The device may provide information associated with identifying the first location. The device may determine a second location for the particular user equipment based on the information associated with identifying the first location and after determining the first location. The device may provide information associated with identifying the second location. The device may update the stored set of parameters as a set of updated parameters. The device may use the set of updated parameters to determine another location.

Abstract: A device may include one or more processors configured to receive information associated with one or more performance goals to be achieved within a radio access network (RAN). The device may receive performance information for mobile devices associated with the RAN. The device may determine that at least one performance goal, of the one or more performance goals, is not being achieved within the RAN. The determining may be based on the information associated with the one or more performance goals and the performance information. The device may generate a small cell plan for improving performance within the RAN toward achievement of the at least one performance goal. The small cell plan may identify a set of locations at which a set of small cells are to be activated, deactivated, or deployed. The device may output information associated with the small cell plan.

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 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.