Abstract: A system that incorporates teachings of the subject disclosure may include, for example, a processor that can detect an event, access location information for a group of mobile communication devices that are each automatically capturing images, and identify a subset of the group of mobile communication devices that are in proximity to the event based on the location information. The processor can provide first image analysis criteria to the subset of the group of mobile communication devices without providing the first image analysis criteria to remaining devices of the group of mobile communication devices where the first image analysis criteria includes first characteristics associated with an object. The processor can receive a first target image that includes the object from a first mobile communication device of the subset of the group of mobile communication devices. Other embodiments are disclosed.

Abstract: Estimation of mobile device presence inside a defined region is facilitated. In one example, a device receives location information representing locations of a mobile device and corresponding time information for the locations of the mobile device. The device determines an estimated path of travel for the mobile device based on the location information and, based on the corresponding time information for the locations of the mobile device, determines whether the estimated path of travel traverses, at a defined time period of interest, a defined region that includes a defined portion.

Abstract: To provide mobile device coupons and discounts, a mobile device couponing system is provided to generate and send coupons to mobile devices based on a probability that the mobile device is within a defined region. The value of the coupons can be inversely proportional to the probability that the mobile device is within the defined region. The probabilities can be precomputed by calculating the probability that each cell in grid in or around the defined region is in the defined region using a set of standardized location resolutions. When location information is received from the mobile device, the probability that the mobile device is within the defined region can be retrieved based on the closest cell that matches the location indicated in the location information and the standardized location resolution closest to the location resolution indicated by the mobile device.

Abstract: Improved network event tagging for mobile communications is described herein. By way of example, a mobile network can be configured to take periodic geographic positions of a mobile terminal operating within the mobile network. Network events occurring between the periodic geographic positions, otherwise partially unknown in position, can be estimated by referencing topographical information and estimating a route of travel of the mobile device. Estimated speed of the mobile device can be utilized to place the mobile device on a road network, cycling route, pedestrian walkway, or the like, and refine the estimated position of the mobile device at the time of the network event. Such estimates can be refined from traffic information or other real-time travel data. An estimated position of the mobile device can be output as an approximation of the network event to facilitate event modeling for the mobile network.

Abstract: Concepts and technologies are described herein for the classification of indoor and outdoor telecommunications events that occur within mobile telecommunications networks. According to one aspect disclosed herein, a method for classifying telecommunications events can include receiving a data set that includes geo-location data and radio signal measurement data for a plurality of telecommunications events that have occurred within a mobile telecommunications network. The method can also include providing the data set as input to a classification model. The method can also include classifying the data set into an indoor results subset and an outdoor results subset using the classification model. The indoor results subset can include a first telecommunications event that is determined by the classification model to have occurred in an indoor location. The outdoor results subset can include a second telecommunications event that is determined by the classification model to have occurred in an outdoor location.

Abstract: A method, computer-readable storage device, and an apparatus for determining a probability for a particular geo-fence in a wireless network are disclosed. For example, the method receives a mobile identification, a location record, and an accuracy level, identifies a bin in a database of record, identifies one or more geo-fences in which the bin is located, identifies one or more geo-fences that are pre-associated with the mobile user endpoint device, determines an intersection of: the one or more geo-fences that are identified as being pre-associated with the user endpoint device, and the one or more geo-fences that are identified as being geo-fences in which the bin is located, and determines for each particular geo-fence in the intersection, the probability of being in the particular geo-fence, wherein the probability of being in the particular geo-fence is determined in accordance with the accuracy level associated with the location record.

Abstract: A system that incorporates teachings of the subject disclosure may include, for example, a processor that can detect an event, access location information for a group of mobile communication devices that are each automatically capturing images, and identify a subset of the group of mobile communication devices that are in proximity to the event based on the location information. The processor can provide first image analysis criteria to the subset of the group of mobile communication devices without providing the first image analysis criteria to remaining devices of the group of mobile communication devices where the first image analysis criteria includes first characteristics associated with an object.

Abstract: Providing for improved network event tagging for mobile communications is described herein. By way of example, a mobile network can be configured to take periodic geographic positions of a mobile terminal operating within the mobile network. Network events occurring between the periodic geographic positions, otherwise partially unknown in position, can be estimated by referencing topographical information and estimating a route of travel of the mobile device. Estimated speed of the mobile device can be utilized to place the mobile device on a road network, cycling route, pedestrian walkway, or the like, and refine the estimated position of the mobile device at the time of the network event. Such estimates can be refined from traffic information or other real-time travel data. An estimated position of the mobile device can be output as an approximation of the network event to facilitate event modeling for the mobile network.

Abstract: A handset agent calibration solution is provided that uses the GPS receivers on mobile devices to determine a location of the mobile device to calibrate timing based locating systems. The handset agent can be installed on the mobile device and can upload to an internet server the coordinates captured by the GPS receiver along with the observed time differences. The observed time differences and the location of the mobile device can be used to solve for reference time differences to calibrate unsynchronized macrocells. The reference time difference can be used to solve for the location of other mobile devices if the observed time differences between that mobile device and the macrocells are known. The solution can include receiving measurement reports from many mobile devices to obtain averaged observed time differences at a reference location to achieve more accurate reference time differences.

Abstract: Concepts and technologies are described herein for the classification of indoor and outdoor telecommunications events that occur within mobile telecommunications networks. According to one aspect disclosed herein, a method for classifying telecommunications events can include receiving a data set that includes geo-location data and radio signal measurement data for a plurality of telecommunications events that have occurred within a mobile telecommunications network. The method can also include providing the data set as input to a classification model. The method can also include classifying the data set into an indoor results subset and an outdoor results subset using the classification model. The indoor results subset can include a first telecommunications event that is determined by the classification model to have occurred in an indoor location. The outdoor results subset can include a second telecommunications event that is determined by the classification model to have occurred in an outdoor location.

Abstract: Detection of a confusion caused by scrambling code reuse is provided herein. Timing measurements, as observed by a mobile device, and an identification of primary scrambling codes associated with the timing measurements are captured. The timing measurements are identified by the primary scrambling codes for the particular radio measured. The mobile device also reports its location information. Radios for which timing measurements have been received are paired. Based on the paired radios and a history of observed time difference reference values for radio pairs, comparisons are made between paired radios having at least one common radio. Radios, exhibiting a set of values that is near an expected range, are removed from the analysis. Radios, exhibiting two sets of values that are distinct, are isolated in order to identify the radio that is causing the scrambling code confusion.

Abstract: A method comprising obtaining, by a system using a processor, a wireless fingerprint corresponding to a mobile communication device and a subject area in which the mobile communication device is or was positioned. The method also includes obtaining, by the system, an area wireless signal distribution map indicating wireless signal strength values corresponding to multiple wireless transmitters positioned in the subject area, and determining, by the system, based on the wireless fingerprint and the area wireless signal distribution map, a location of the mobile communication device.

Abstract: Detection of a faulty radio oscillator is provided herein. Also provided herein is detection of faulty mobile timing measurements. Timing measurements, as observed by a mobile device, and an identification of primary scrambling codes associated with the timing measurements are captured. The primary scrambling codes match each timing measurement with a particular radio. The mobile device can also report its location information. Radios for which timing measurements have been received are paired. Based on the paired radios and an associated observed time delay derived from the timing measurements, comparisons can be made between paired radios having at least one common radio. Radios exhibiting an expected timing value can be removed from the analysis in order to isolate a radio that has a faulty radio oscillator.

Abstract: Systems and techniques for determining the location of user equipment (UE) in a wireless network are disclosed. These techniques leverage geometric calculations for an overlaid local bin grid framework mapping an area of a wireless network to stored differential values for each frame of the local bin grid framework for pairs of relevant NodeB radios. A timing offset can be determined, such that when a time value from the UE is accessed, the location can be quickly determined with minimal real time computation. In an aspect, the UE time value can be searched for in the pre-computed differential value data set indexed by a relevant NodeB radio pair to return a set of frames that can be intersected with a second set of frames for a second NodeB radio pair for the UE. The intersecting frames can represent the location of the UE in the wireless network.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media, such as storage devices and/or storage disks) to implement selective suppression of audio emitted from an audio source are disclosed. Example methods disclosed herein for audio suppression include obtaining, at a first time, reference audio data corresponding to a first audio signal, the first audio signal to be output by an audio source at a second time later than the first time. Such example methods can also include processing the reference audio data to generate a suppression signal to be output by a speaker associated with a user device to suppress the first audio signal when received at the user device at a third time later than the first time. Such example methods can further include providing the suppression signal to an audio output driver in communication with the speaker.

Abstract: Determining referenced based location information for a wireless radio network is described. Referenced based location information can include determining location reference information and corresponding location offset information based on location information. In an aspect, location information can be timed fingerprint location information. Location offset information can be communicated in a wireless network at a lower operational cost than the associated location information. As such, use of referenced based location information for a wireless network can reduce bandwidth consumption as compared to location information communicated at similar intervals. This is particularly true in large wireless networks.

Abstract: A method, computer-readable storage device, and an apparatus for determining a probability for a particular geo-fence in a wireless network are disclosed. For example, the method receives a mobile identification, a location record, and an accuracy level, identifies a bin in a database of record, identifies one or more geo-fences in which the bin is located, identifies one or more geo-fences that are pre-associated with the mobile user endpoint device, determines an intersection of: the one or more geo-fences that are identified as being pre-associated with the user endpoint device, and the one or more geo-fences that are identified as being geo-fences in which the bin is located, and determines for each particular geo-fence in the intersection, the probability of being in the particular geo-fence, wherein the probability of being in the particular geo-fence is determined in accordance with the accuracy level associated with the location record.

Abstract: A method, computer-readable storage device and an apparatus for estimating the traffic speed for segments of roads using location information of wireless devices in a wireless network are disclosed. For example, the method computes a speed and a speed error for travelling between at least two locations of the plurality of locations, correlates the speed and speed error with one or more segments of one or more roads, aggregates the speed and the speed error that are correlated with the respective segment of the respective road, within a pre-determined time interval, computes an average speed, a composite speed error, and a speed variance to a predefined accuracy level for the respective segment of the respective road, in accordance with the plurality of speeds and speed errors that are correlated with the respective segment of the respective road, and provides the average speed as the traffic speed.

Abstract: A method including receiving a first location for a mobile device at a first time; receiving a second location for the mobile device at a second time; determining a most likely route for the mobile device based on the first location, the second location, and a time interval between the first time and the second time; and generating a synthetic location for the mobile device based on the most likely route at a corresponding synthetic time between the first time and the second time.

Abstract: A femtocell calibration solution is provided that uses the known location of the femtocell to calibrate timing based locating systems. The calculated time differences of different signals sent between macrocells and a mobile device can be used to solve for a reference time difference that accounts for the timing differences of the unsynchronized macrocells. The reference time difference can then be used to solve for the location of another mobile device if the calculated time differences between that mobile device and the macrocells are known. The solution can include taking many measurements of the calculated time difference at the first mobile device in order to average them to get a more accurate reference time difference. The solution can further include ceasing measurements at the first mobile device when the mobile device is no longer within range of the femtocell.