Viavi Solutions UK Limited

Gareth James Smith

Stefan Ulrich Thiel

Peter Kenington

Michael Joseph Flanagan

Christopher Michael Murphy

John Joseph Holden

Walter Featherstone

Howard John Thomas

Philip Geoffrey Claridge

David Christopher Wyles

Meng Wang

Matthew James W Brown

David Antony Razzetti

Ryan Clark

Philip Geoffery Claridge

David Anthony Razzetti

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.

Automatic optimization procedure termination using a smoothing-based technique

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.

Sensor-based geolocation of a user device

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.

Techniques for mobile network geolocation

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.

Techniques for multiple pass geolocation

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.

Providing streaming geolocation information

A device may include one or more processors. The device may obtain call information relating to a call. The call information may comprise a plurality of call segments. The device may perform one or more particle swarm operations to obtain approximate locations of the mobile device during at least some of the plurality of call segments. The device may combine the approximate locations to identify a location of the mobile device during the call.

Determining mobile device location based on a particle swarm approach

A method and apparatus for deriving indoor/outdoor classification information for call data for a wireless communication network. The method comprises identifying a set of subscriber call data records relating to vehicular calls, deriving a physical channel measurement threshold value based at least partly on physical channel measurement values for the subscriber call data records identified as relating to vehicular calls, and classifying subscriber call data records for the wireless communication network as indoor subscriber call data records and outdoor subscriber call data records based at least partly on a comparison of physical channel measurement values for the subscriber call data records with the derived physical channel measurement threshold value.

Method and apparatus for deriving indoor/outdoor classification information

A device may be configured to obtain metric information relating to an operating environment. The metric information may describe a signal strength or a signal quality associated with one or more calls placed in the operating environment. The device may be configured to obtain a threshold for the metric information. The device may be configured to determine indoor/outdoor classification information that identifies whether the one or more calls are classified as an indoor call or an outdoor call or an unclassified call based on whether the metric information satisfies the threshold. The device may be configured to determine geolocation information identifying one or more geographical locations associated with the one or more calls. The device may be configured to provide the indoor/outdoor classification information and the geolocation information.

Determining an indoor/outdoor classification for a call

A method of deriving cell characteristic values for cells within a wireless communication network. The method for determining a set of cells for which cell characteristic values are to be derived, and using a genetic algorithm to derive cell characteristic values for the set of cells based at least partly on measurement data obtained by wireless communication subscriber units within the wireless communication network.

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Berkshire, United Kingdom

Gareth James Smith