Abstract: The disclosed subject matter provides for employing timed fingerprint location information in location analytics. Timed fingerprint location information can provide a location for a user equipment. The location of the user equipment can be compared to a location analytics rule related to the location of a user equipment. Where the location satisfies a condition of the location analytics rule, the user equipment can be associated with a compliance status. Compliance, or noncompliance, can initiate further action. Further action can include reporting the compliance status, verifying the identity of a user associated with the user equipment, enforcing the location analytics rule, etc. Enforcing the location analytics rule can include alerts, fines, reporting to an authority figure or agency, etc.

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: The disclosed subject matter provides for employing timed fingerprint location information in location analytics. Timed fingerprint location information can provide a location for a user equipment. The location of the user equipment can be compared to a location analytics rule related to the location of a user equipment. Where the location satisfies a condition of the location analytics rule, the user equipment can be associated with a compliance status. Compliance, or noncompliance, can initiate further action. Further action can include reporting the compliance status, verifying the identity of a user associated with the user equipment, enforcing the location analytics rule, etc. Enforcing the location analytics rule can include alerts, fines, reporting to an authority figure or agency, etc.

Abstract: Providing for identifying and ticketing mobile network communication errors according to geographic position of the errors is described herein. By way of example, communication errors, such as dropped calls, can be tracked and recorded as a function of position of a mobile terminal affected by a dropped call. A number of these errors within a given location is compared with historic error data to determine statistically anomalous instances of communication errors. Upon identifying such an anomaly, an error ticket can be generated that identifies a geographic region associated with the error. Particularly, the geographic region can be independent of radio access network infrastructure, which is conventionally used as a means of locating events within a mobile network. A geographic error ticket can, in some aspects of the subject disclosure, facilitate discovery and troubleshooting of errors that originate at least in part from unknown or unanticipated sources.

Abstract: Systems and methods disclosed herein can implement a femtocell calibration solution 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.

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: Providing for identifying and ticketing mobile network communication errors according to geographic position of the errors is described herein. By way of example, communication errors, such as dropped calls, can be tracked and recorded as a function of position of a mobile terminal affected by a dropped call. A number of these errors within a given location is compared with historic error data to determine statistically anomalous instances of communication errors. Upon identifying such an anomaly, an error ticket can be generated that identifies a geographic region associated with the error. Particularly, the geographic region can be independent of radio access network infrastructure, which is conventionally used as a means of locating events within a mobile network. A geographic error ticket can, in some aspects of the subject disclosure, facilitate discovery and troubleshooting of errors that originate at least in part from unknown or unanticipated sources.

Abstract: The disclosed subject matter provides for employing timed fingerprint location information in location analytics. Timed fingerprint location information can provide a location for a user equipment. The location of the user equipment can be compared to a location analytics rule related to the location of a user equipment. Where the location satisfies a condition of the location analytics rule, the user equipment can be associated with a compliance status. Compliance, or noncompliance, can initiate further action. Further action can include reporting the compliance status, verifying the identity of a user associated with the user equipment, enforcing the location analytics rule, etc. Enforcing the location analytics rule can include alerts, fines, reporting to an authority figure or agency, etc.