Abstract: Techniques provided herein are directed toward adjusting the rate at which a mobile device's barometric pressure sensor takes measurements, based on whether movement is detected from motion sensors, such as accelerometers, gyroscopes, and the like. Where movement is below a threshold (e.g., below a threshold speed or within a threshold distance), then the barometric pressure sensor can reduce the sampling rate to a rate that still enables the mobile device to account for changes in the weather. If movement is detected (e.g., greater than a threshold distance), then the sampling rate of the barometric pressure sensor increases (i.e., to a normal rate for determining vertical movement changes).

Abstract: A method, in a mobile device, of controlling region determination by the mobile device, includes: determining a present pressure at the mobile device; determining, based on the present pressure and a reference pressure, that the mobile device moved from a first region to a second region within a structure, the first region and the second region being different regions of the structure and vertically displaced from each other; and performing region determination in response to determining that the mobile device moved from the first region to the second region.

Abstract: Disclosed are systems, methods and devices for application of determining position information for mobile devices. In specific implementations, measurement of a signal travel time and a signal's strength may be combined to characterize a transmission power of the signal's transmitter. The characterized transmission power may be applied to affect expected signal strength signature values for use of the signal's transmitter may be updated in order to enhance a location based service where location may be effected by accuracy of a transmitter's power.

Abstract: Method, device, and computer program product that may improve communications between a mobile device and an access point device are disclosed. In one embodiment, an access point device includes a transceiver configured to receive signals from a mobile device, a processor coupled to the transceiver, and a memory coupled to the processor, the memory having stored thereon code configured to be executed by the processor, the code instructing the processor to: control a plurality of beacons in the access point device, obtain range measurements using the plurality of beacons in the access point device, and assist calibration of a beacon in the mobile device using the range measurements obtained by the plurality of beacons in the access point device.

Abstract: Methods and systems are disclosed for improving reliability in mobile device positioning. A mobile device generates position data for a device, receives a first access point position reliability state associated with the first access point, determines a reliability of the position data based on the first access point position reliability state and an estimated location of the first access point, determines a threshold reliability requirement of an application associated with the mobile device, compares the reliability of the position data to the threshold reliability requirement of the application, and provides the position data of the device based on the comparison. A network entity determines access point characteristics associated with an access point, generates a position reliability state for the access point, sends the position reliability state to a mobile device, receives position data associated with the mobile device, and determines a trustworthiness of the position data.

Abstract: Methods and systems are disclosed for improving reliability in mobile device positioning. A mobile device generates position data for a device, receives a first access point position reliability state associated with the first access point, determines a reliability of the position data based on the first access point position reliability state and an estimated location of the first access point, determines a threshold reliability requirement of an application associated with the mobile device, compares the reliability of the position data to the threshold reliability requirement of the application, and provides the position data of the device based on the comparison. A network entity determines access point characteristics associated with an access point, generates a position reliability state for the access point, sends the position reliability state to a mobile device, receives position data associated with the mobile device, and determines a trustworthiness of the position data.

Abstract: Methods and systems for utilizing priority based geofences are disclosed. A mobile device receives, from another device over a wireless network, at least one geofence, each of the at least one geofence having an assigned priority level indicating an importance of the at least one geofence, wherein the assigned priority level is one of a plurality of priority levels and is received from the other device over the wireless network, determines, based on the priority level of the at least one geofence, a geofence breach detection method and an evaluation rate, and monitors a position of the mobile device relative to the at least one geofence at the evaluation rate using the geofence breach detection method.

Abstract: A method and apparatus for reporting almanac versions and almanac identification by a mobile station to a server is provided. The server compares the almanac version and almanac identification held by the mobile station with almanac versions and almanac identifications held by the server. The server then sends instructions to the mobile station to match the server versions of the almanac versions and almanac identifications for the almanac versions and almanac identifications that the mobile station should hold.

Abstract: Methods for mobility indication of wireless Access Points (APs) are disclosed. An AP may determine mobility indication information, based, in part, on at least one of: configuration information on the AP pertaining to mobility; and/or wireless signal measurements associated with the AP, and/or captured images associated with the AP, and/or sensor measurements associated with the AP. The AP may transmit the mobility indication information for the AP. The mobility indication information may indicate that the AP is mobile and/or characterize the mobility. The mobility indication information may further include a request to remove information associated with the AP from location determination databases, location assistance databases, and/or base station almanacs.

Abstract: Methods and systems for utilizing priority based geofences are disclosed. A mobile device receives, from another device over a wireless network, at least one geofence, each of the at least one geofence having an assigned priority level indicating an importance of the at least one geofence, wherein the assigned priority level is one of a plurality of priority levels and is received from the other device over the wireless network, determines, based on the priority level of the at least one geofence, a geofence breach detection method and an evaluation rate, and monitors a position of the mobile device relative to the at least one geofence at the evaluation rate using the geofence breach detection method.

Abstract: In an embodiment, a given entity obtains a location of at least one terrestrial transmit station of a Synchronized Wireless Transmission Network (SWTN), transmit station calibration information associated with the at least one terrestrial transmit station and a location of a user equipment (UE) that is in wireless communication range with the at least one terrestrial transmit station. The given entity estimates the time calibration value for the UE based on the obtained transmit station location, the determined transmit station calibration information and the determined location of the UE. In another embodiment, a server obtains time calibration values that are estimated for each UE in the population of UEs. The server aggregates the estimated time calibration values based on device model and/or device operation mode, and calculates a representative time calibration value for UEs sharing the device model and/or device operation mode.

Abstract: A method of determining a location of a base station includes: receiving, at a mobile device from a location server, a base station identifier (BSID) of the base station and two or more candidate locations of the base station; receiving a signal, at the mobile device from the base station identified by the BSID; and selecting, at the mobile device, a particular candidate location from the two or more candidate locations based on a characteristic determined from the signal. A method of identifying an actual location of a base station includes: transmitting, from a location server to a disambiguating mobile device, a base station identifier (BSID) of the base station and two or more candidate locations of the base station; and receiving, at the location server from the disambiguating mobile device, an indication of the actual location of the base station from among the two or more candidate locations.

Abstract: A method of associating environmental context with wireless access points is disclosed. In some embodiments, a method on a user equipment may comprise determining at least one environmental context associated with a subset of one or more Access Points (APs) visible to the UE at an estimated location of the UE. The at least one environmental context associated with the subset may be determined based on one or more of wireless measurements by the UE, and/or sensor measurements by the UE. Further, at least one AP cluster may be determined by clustering the subset of the one or more APs visible to the UE based on the at least one environmental context and the estimated location. Environmental context for APs may be crowdsourced and stored and provided to a UE as location assistance information to facilitate location determination and other functions.

Abstract: Methods and systems are disclosed for improving reliability in mobile device positioning. A mobile device generates position data for a device, receives a first access point position reliability state associated with the first access point, determines a reliability of the position data based on the first access point position reliability state and an estimated location of the first access point, determines a threshold reliability requirement of an application associated with the mobile device, compares the reliability of the position data to the threshold reliability requirement of the application, and provides the position data of the device based on the comparison. A network entity determines access point characteristics associated with an access point, generates a position reliability state for the access point, sends the position reliability state to a mobile device, receives position data associated with the mobile device, and determines a trustworthiness of the position data.

Abstract: Disclosed herein are techniques for determining a location of an antenna supporting structure. Crowdsourced data associated with antennas that are installed on a same antenna supporting structure but are used for different air interface types and/or data from aerial images can be used, alone or in combination, to more accurately and more efficiently determine the location of the antenna supporting structure and therefore the locations of the antennas on the antenna supporting structure.

Abstract: Techniques for determining a relative Time Calibration (dTcal) value for a mobile device model are disclosed. An example of an apparatus according to the disclosure includes a memory, a receiver configured to receive measurements and a mobile device model information from mobile devices disposed in geographic areas, a processor configured to determine a baseline mobile device model and other mobile devices models based on the measurements, calculate a baseline measurement value based on the measurement values that correspond to the baseline mobile device model, determine difference values based on the baseline measurement value and the other mobile device model measurement values, determine a model specific dTcal value based on the difference values for at least one of the other mobile device models, and store the model specific dTcal value in the memory.

Abstract: Techniques for determining a relative Time Calibration (dTcal) value for a mobile device model are disclosed. An example of an apparatus according to the disclosure includes a memory, a receiver configured to receive measurements and a mobile device model information from mobile devices disposed in geographic areas, a processor configured to determine a baseline mobile device model and other mobile devices models based on the measurements, calculate a baseline measurement value based on the measurement values that correspond to the baseline mobile device model, determine difference values based on the baseline measurement value and the other mobile device model measurement values, determine a model specific dTcal value based on the difference values for at least one of the other mobile device models, and store the model specific dTcal value in the memory.

Abstract: Techniques for determining a relative Time Calibration (dTcal) value for a mobile device model are disclosed. An example of an apparatus according to the disclosure includes a memory, a receiver configured to receive measurements and a mobile device model information from mobile devices disposed in geographic areas, a processor configured to determine a baseline mobile device model and other mobile devices models based on the measurements, calculate a baseline measurement value based on the measurement values that correspond to the baseline mobile device model, determine difference values based on the baseline measurement value and the other mobile device model measurement values, determine a model specific dTcal value based on the difference values for at least one of the other mobile device models, and store the model specific dTcal value in the memory.

Abstract: Techniques for determining a relative Time Calibration (dTcal) value for a mobile device model are disclosed. An example of an apparatus according to the disclosure includes a memory, a receiver configured to receive measurements and a mobile device model information from mobile devices disposed in geographic areas, a processor configured to determine a baseline mobile device model and other mobile devices models based on the measurements, calculate a baseline measurement value based on the measurement values that correspond to the baseline mobile device model, determine difference values based on the baseline measurement value and the other mobile device model measurement values, determine a model specific dTcal value based on the difference values for at least one of the other mobile device models, and store the model specific dTcal value in the memory.

Abstract: Method, device, computer program product, and apparatus to enable mobile device position optimization and reporting are described. Signals provided by a plurality of base transceiver stations (BTS) are received to determine a BTS-based position of the mobile device. A reference position of the mobile device is determined. A range measurement with respect to a target BTS is determined. In one aspect, one or more unreliable BTSs may be detected and reported based on a positioning measurement quality, a range measurement quality, or combinations thereof. In one aspect, the positioning measurement quality is determined based on a difference between the reference position of the mobile device and the BTS-based position of the mobile device. In one aspect, the range measurement quality is determined based on a difference between a measured range/distance and a reference/expected range/distance.