Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Solutions for accelerating cell search and selection by a user equipment (UE) include: detecting, by the UE, a network exit; determining, by the UE, a network reentry condition; based on at least mobility data for the UE and a network connectivity context history, determining, by the UE, using a machine learning (ML) component, a set of priority reentry cells; attempting network reentry with the set of priority reentry cells; and based on at least failing network reentry with the set of priority reentry cells, attempting network reentry with a cell search. In some examples, mobility data for the UE is also used for determining the set of priority reentry cells. By searching the set of priority reentry cells first , rather than starting with a blind search, the UE may save not only battery power, but also reconnect to the network more quickly, thereby improving the user experience.

Abstract: A method for determining a reliability of a wireless device to estimate its location under a simulated environmental condition includes simulating an environmental condition inside a test chamber by controlling a physical parameter. The test chamber contains the wireless user device configured to estimate a location of the wireless user device based on reference signals received from a signal source. The method includes communicating a pattern of reference signals having varying signal propagation characteristics in the test chamber. The method includes receiving an indication of an estimated location calculated by the wireless user device based on the pattern of reference signals. The reliability of the wireless device to estimate its location under the simulated environmental condition is determined based on a comparison of the estimated location with the simulated location.

Abstract: Solutions for focused cellular network paging of a user equipment (UE) include: detecting, by a network, a network exit of the UE from a last known cell and an exit condition for the UE; determining, by the network, a network paging condition; based on at least the last known cell and the exit condition for the UE, determining, by the network, a set of priority paging cells; paging the UE with the set of priority paging cells; and based on at least failing to receive a response by paging the UE with the set of priority paging cells, paging the UE with a larger set of cells. In some examples, the network topology is also used for determining the set of priority paging cells. By starting with the set of priority paging cells, rather than wider global paging, fewer cells are used for paging, thereby saving network bandwidth.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: This disclosure describes techniques for capturing radio frequency (RF) signal over the air, processing spectrum power data, and uploading data to a central data repository for analysis and reporting. Captured RF signals are filtered and amplified via a front-end module of a probe that includes a filter and a low noise amplifier (LNA). Output signals can be decoded into digital TV metadata and image captures via a TV tuner and spectrum power, and then analyzed via a software defined radio (SDR). Digital TV metadata and images, as well as SDR data, can be uploaded and collected at a server. The server processes collected spectrum data from SDR into spectrum reports. The server can also analyze collected digital TV metadata to identify with increased accuracy RF sources originating from transmitting TV facilities.

Abstract: This disclosure describes techniques for capturing radio frequency (RF) signal over the air, processing spectrum power data, and uploading data to a central data repository for analysis and reporting. Captured RF signals are filtered and amplified via a front-end module of a probe that includes a filter and a low noise amplifier (LNA). Output signals can be decoded into digital TV metadata and image captures via a TV tuner and spectrum power, and then analyzed via a software defined radio (SDR). Digital TV metadata and images, as well as SDR data, can be uploaded and collected at a server. The server processes collected spectrum data from SDR into spectrum reports. The server can also analyze collected digital TV metadata to identify with increased accuracy RF sources originating from transmitting TV facilities.