Abstract: A network device can be placed in a central location to detect and disseminate mobile device data via a wireless network. The network device actions can be determined by an end-user device that receives subscription-based data. The end-user can determine parameters for communication between the network, network device, and the mobile device and determine actions based on the communication.

Abstract: A network access credential can be shared among devices based on location information for a device. Location information can include timed fingerprint location information. In an aspect, location information can be associated with a location of user equipment. This location information can be correlated with network access credentials. Location information can be used to access a relevant network access credential. The relevant network access credential can be shared with other devices. In an embodiment, sharing a network access credential can be between mobile devices. In another embodiment, sharing a network access credential can be between a remote computing device and a mobile device. Sharing a credential can allow for access to a network without having to generate or input new credentials.

Abstract: The disclosed subject matter provides for selecting a radio access technology resource based on historical data related to the radio access technology resource. Location information can be employed to determine a radio access technology resource. Historical information related to the radio access technology resource can then be employed to determine the suitability of the radio access technology resource. A set of radio access technology resources can be ordered or ranked to allow selection of a suitable radio access technology resource from the set. Incorporation of historical information can provide for additional metrics in the selection of a radio access technology resource over simple contemporaneous radio access technology resource information. In some embodiments timed fingerprint location (TFL) information can be employed to determine a location.

Abstract: A method includes receiving, at a first computing device, first data associated with a performance indicator of a wireless wide area network for a first time period. The method also includes determining, at the first computing device, whether the performance indicator satisfies a performance threshold. The method further includes, based on determining that the performance indicator does not satisfy the performance threshold, offloading one or more communication devices from the wireless wide area network so that the performance indicator satisfies the performance threshold. The method finally includes sending a first instruction to a second computing device. The second computing device enables one or more access points to provide mobile communication services to the one or more communication devices.

Abstract: Sharing timed fingerprint location information is disclosed. In an aspect, timed fingerprint location information can be associated with a location of a user equipment. This timed fingerprint location information can be shared with other devices. As such, with proper analysis, these other devices can employ the shared timed fingerprint location information to determine their location. In an aspect, the other devices can determine that they are located at the same location as the user equipment. However, a level of error can be inherent in the location determined from shared timed fingerprint location information. In some embodiments, this error can be compensated for.

Abstract: Concepts and technologies are described herein for managing network load using device application programs. An illustrative method includes receiving, at a mobile device, a list of preferred combinations of location area codes (“LACs”), cell identifiers (“CIDs”), and times that data access by the mobile device is to be incentivized, determining a current LAC associated with a location area within which the mobile device is currently located, determining a current CID associated with a base transceiver station to which the mobile device is currently connected, determining a current time, and determining if the current LAC, the current cell ID, and the current time are included as a preferred combination in the list. The method also includes providing an indication that data access by the mobile device is incentivized if the current LAC, the current cell ID, and the current time are included in the list as a preferred combination.

Abstract: Demographic assessment of information is facilitated using targeted location oversampling. In one example, a device determines mobile devices communicatively coupled to a base station device associated with a first defined region, wherein the first defined region is relative to a defined location of interest. The device can transmit a set of instructions to the mobile devices that instruct the mobile devices to power on respective location information components configured to transmit location information. The respective location information can be configured to transmit respective global positioning system information for the mobile devices. The device can also determine which ones of the mobile devices are within a second defined region based on respective location information received from the mobile devices.

Abstract: A computer system and method are provided to intercept a task from a primary user account 121 prior to execution of the task by the computer device 200, where the task relates to an untrusted content. A task isolation environment 350 is provisioned for executing the task, including programmatically creating a secondary user account 121b on the computer device. A local printer and/or a network printer which are connected to the primary user account 121 are discovered and automatically provisioned in the secondary user account 121b. Access to the or each printer 500 is controlled by an agent 300 on the computer device 200.

Abstract: The invention relates to a smoking article (10). In particular, the invention relates to a smoking article (10) having a first part (11) which is moveable relative to a second part (12). The smoking article (10) may be extendable. In one example, the smoking article has a first cylindrical part configured to be moveable relative to a second cylindrical part, the first cylindrical part having a first engaging surface (17) and the second cylindrical part having a second engaging surface (20), wherein the first engaging surface (17) is engagable with the second engaging surface (20) to limit relative longitudinal movement between the first and second parts and wherein at least one of the first and second engaging surfaces (17, 20) extends around at least part of an inner or outer surface of the respective first or second cylindrical parts and follows a path other than a circular path.

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: Aspects relate to automatically establishing neighbor relations for adjacent sectors based on one or more network events. The neighbor relations can be established between sectors that can be identified as inter-frequency neighbors or intra-frequency neighbors. In an aspect, the network events can be active call data events received from one or more mobile devices. The active call data events can be radio access bearer establishments and internal system releases. In another aspect, the network events can be idle call data events received from one or more mobile devices. If a first event ended on a first sector and a second event started on a second sector before expiration of an interval that started when the first event ended, the first sector and second sector can be defined as neighbors.

Abstract: Fraud analysis for a location aware transaction is disclosed. Location information can be associated with historical fraud events. A location of user equipment can be analyzed against historical fraud information associated with the location to facilitate determination of a fraud factor value. The fraud factor value can reflect a determination related to a likelihood of fraud occurring in an instant transaction based on the historic fraud events proximate to the location. The determination can be based on fraud rules. Further aspects provide for abstraction of the fraud factor to limit exposure of personal information associated with wireless carrier subscribers in fraud analysis for a location aware transaction.

Abstract: The disclosed subject matter relates to received signal strength indicator (RSSI) snapshot analysis. RSSI snapshot analysis can be independent of determining location/map information. An RSSI snapshot can be analyzed in view of historic RSSI information to determine a probability that a local wireless resource correlated with the historical RSSI information is within the service area of the user equipment. Machine learning can be employed to train an inference component to facilitate in determining the probability. In an aspect, the state of a wireless radio can be controlled based on the probability, which can reduce the energy consumption of the user equipment by facilitating selective enablement of a wireless radio.

Abstract: Aspects relate to automatically providing updated route and predicted travel time to allow a user to travel a shortest route between a first point and a second point. A route can be planned based on a multitude of route segments, wherein historical data related to speed is known for each of the route segments. Further, the historical data is categorized based on temporal aspects, such as time of day, day of week, as well as other aspects, such as known events that can have an influence on the speed at which each route segment can be traveled. As the user moves along the route, the planned route, as well as an anticipated travel time, are almost continually updated to provide the most up-to-date and accurate data.

Abstract: Aspects relate to automatically establishing neighbor relations for adjacent sectors based on one or more network events. The neighbor relations can be established between sectors that can be identified as inter-frequency neighbors or intra-frequency neighbors. In an aspect, the network events can be active call data events received from one or more mobile devices. The active call data events can be radio access bearer establishments and internal system releases. In another aspect, the network events can be idle call data events received from one or more mobile devices. If a first event ended on a first sector and a second event started on a second sector before expiration of an interval that started when the first event ended, the first sector and second sector can be defined as neighbors.

Abstract: Sharing timed fingerprint location information is disclosed. In an aspect, timed fingerprint location information can be associated with a location of a user equipment. This timed fingerprint location information can be shared with other devices. As such, with proper analysis, these other devices can employ the shared timed fingerprint location information to determine their location. In an aspect, the other devices can determine that they are located at the same location as the user equipment. However, a level of error can be inherent in the location determined from shared timed fingerprint location information. In some embodiments, this error can be compensated for.

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: The disclosed subject matter provides for received signal strength indicator (RSSI) snapshot analysis. RSSI snapshot analysis can be independent of determining location/map information. An RSSI snapshot can be analyzed in view of historic RSSI information to determine a probability that a local wireless resource correlated with the historical RSSI information is instantly available. Machine learning can be employed to train an inference component to facilitate in determining the probability. In an aspect, the state of a wireless radio can be controlled based on the probability and this can reduce the energy consumption of the user equipment by facilitating intelligent enablement of a wireless radio.

Abstract: Mechanisms for user application access to cell broadcast messaging in a mobile communication environment are described herein. By way of example, a location-based message such as a cell broadcast message can be received by an operating system of a mobile device, which can generate an instance of the message for a user application registered with the operating system. Upon determining the message to be a location-based message, message data can be converted into a fielded data object which can be utilized by user application of the mobile device. Data, commands, etc., of the CB message can then be implemented in conjunction with application processes or business logic to control device functionality, perform tasks, output data over a user interface, initiate communications, and so forth.

Abstract: The disclosed subject matter provides for fraud analysis for a location aware transaction. In an aspect, location information can be associated with historical fraud events. The location of user equipment can be analyzed against historical fraud information to facilitate determination of a fraud factor value. The fraud factor value can reflect a determination related to the likelihood of fraud occurring in the present transaction based on the historic fraud events at the same or similar location as the present location of the user equipment. The determination can be based on fraud rules. Further aspects provide for abstraction of the fraud factor to limit exposure of personal information associated with wireless carrier subscribers in fraud analysis for a location aware transaction.