Abstract: Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a duration between a prior session and a current session for positioning the device is less than a duration threshold value. The computing device can determine measurement errors of measurements of non-line of sight (NLOS) signals from one or more NLOS SVs of the NLOS SVs are greater than the previous horizontal uncertainty for the device. remove the one or more NLOS SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The computing device can determine the one or more positions for the device based on measurements from signals transmitted from the SVs in the updated SV list and the updated horizontal uncertainty for the device.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a network device can receive, from a network entity at a handover time, a handover command. The network device can determine, based on receiving from the network entity the handover command at the handover time, an extended time. The network device can transmit, to the network entity, the extended time. The network device can receive, from the network entity, an indication of acceptance by the network entity of the extended time as an updated response time. The network device can determine, based on receiving the indication of acceptance from the network entity, position(s) of the network device based on measurements of signals transmitted from satellite vehicles (SVs) and external course position injection (EPI) data. The network device can transmit, to the network entity at a reporting time, the determined position(s).

Abstract: A user equipment includes processor(s) configured to: obtain first acquisition assistance (AA) data by one or more receivers from a network; determine whether external coarse position injection (CPI) data, received by the one or more receivers from the network, exceed a reliability threshold; and in response to the one or more external CPI data exceeding the reliability threshold: calculate a horizontal error position estimate (HEPE) based on measurement(s) obtained according to second AA data, where the second AA data includes a subset of satellite vehicles from the first AA data; and determine a position of the user equipment based on the external CPI data and the HEPE.

Abstract: Disclosed are techniques for wireless positioning. For example, a computing device can determine, based on a device being within the indoor environment, an updated horizontal uncertainty for the device is equal to an average of measurement errors of signals from satellite vehicles (SVs). The computing device can determine external positioning assistance data for the device has a reliability greater than one of a first reliability threshold or a second reliability threshold. The computing device can determine a number of the SVs of the SVs is greater than or equal to a first threshold number of SVs. The computing device can determine, based on the number of SVs being greater than or equal to the first threshold number of SVs, position(s) for the device based on the updated horizontal uncertainty for the device and a horizontal uncertainty for the device from the external positioning assistance data for the device.

Abstract: A user equipment includes processor(s) configured to: determine a first acquired satellite vehicle (SV) list including first SV(s) from which a user equipment (UE) is receiving signals within a current epoch; for each first SV in the first acquired SV list, determine whether a first measurement error associated with the first SV indicates a line of sight (LOS) between the UE and the first SV; for each first SV in the first acquired SV list, in response to the first measurement error indicating the LOS between the UE and the first SV, add the first SV to an active SV list; determine whether a number of SVs in the active SV list meets a threshold; and in response to the number of SVs in the active SV list meeting the threshold, determine a position of the UE based on the signals received from the SVs in the active SV list.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a device is static. The device can determine a plurality of space vehicles (SVs) comprises more than a threshold number of SVs. The device can determine measurement errors of measurements of signals from one or more SVs of the plurality of SVs are greater than a horizontal uncertainty for the device based on current external positioning assistance data for the device. The device can remove the one or more SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The device can determine the one or more positions for the device based on measurements of signals from SVs in the updated SV list and the current external positioning assistance data.

Abstract: An example method to mitigate interference in a position determination operation can include obtaining one or more global navigation satellite system (GNSS) signals; identifying a time window associated with a wireless signal transmitted by a wireless transmitter; and performing at least one interference mitigation action based on detecting a drop in signal amplitude of at least one of the one or more GNSS signals during the time window.

Abstract: A user equipment includes processor(s) configured to: obtain first acquisition assistance (AA) data by one or more receivers from a network; determine whether external coarse position injection (CPI) data, received by the one or more receivers from the network, exceed a reliability threshold; and in response to the one or more external CPI data exceeding the reliability threshold: calculate a horizontal error position estimate (HEPE) based on measurement(s) obtained according to second AA data, where the second AA data includes a subset of satellite vehicles from the first AA data; and determine a position of the user equipment based on the external CPI data and the HEPE.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a network device can determine an environment of the network device includes an open sky based on a plurality of satellite vehicles (SVs) within the environment. The network device can determine, based on determining the environment includes the open sky, an SV list including at least a minimum number of SVs of the plurality of SVs transmitting signals having carrier-to-noise (CNo) ratios greater than a CNo ratio threshold and with elevations greater than a satellite elevation threshold. The network device can determine a horizontal uncertainty (HUNC) estimate for the network device based on a statistical representation of measurement errors of the signals transmitted from SVs within the SV list. The network device can determine one or more positions of the network device based on the HUNC estimate and measurements of the signals transmitted from the SVs within the SV list.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a network device can receive, from a network entity at a handover time, a handover command. The network device can determine, based on receiving from the network entity the handover command at the handover time, an extended time. The network device can transmit, to the network entity, the extended time. The network device can receive, from the network entity, an indication of acceptance by the network entity of the extended time as an updated response time. The network device can determine, based on receiving the indication of acceptance from the network entity, position(s) of the network device based on measurements of signals transmitted from satellite vehicles (SVs) and external course position injection (EPI) data. The network device can transmit, to the network entity at a reporting time, the determined position(s).

Abstract: Disclosed are systems, apparatuses, processes, and computer-readable media for wireless positioning. For example, a computing device can determine, based on an elevation of one or more satellite vehicles (SVs) of a plurality of being is greater than an elevation threshold, one or more positions of a device based on measurements (from a minimum number of SVs of the plurality of SVs with the elevation greater than the elevation threshold) that have measurement errors less than or equal to a current horizontal error position estimate (HEPE) for the device.

Abstract: Aspects presented herein may enable a UE to achieve a faster acquisition of its estimated location in an environment with limited satellite access or satellite visibilities. In one aspect, a UE detects that the UE is operating in a specified global navigation satellite system (GNSS) environment. The UE verifies, in response to the detection that the UE is operating in the specified GNSS environment, that a duration between a prior GNSS positioning session and a current GNSS positioning session is less than a time threshold. The UE estimates, based on the duration is less than the time threshold, a current position of the UE based on prior position fix information from the prior GNSS session.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a duration between a prior session and a current session for positioning the device is less than a duration threshold value. The computing device can determine measurement errors of measurements of non-line of sight (NLOS) signals from one or more NLOS SVs of the NLOS SVs are greater than the previous horizontal uncertainty for the device. remove the one or more NLOS SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The computing device can determine the one or more positions for the device based on measurements from signals transmitted from the SVs in the updated SV list and the updated horizontal uncertainty for the device.

Abstract: Disclosed are systems and techniques for wireless positioning. For example, a computing device can determine a device is static. The device can determine a plurality of space vehicles (SVs) comprises more than a threshold number of SVs. The device can determine measurement errors of measurements of signals from one or more SVs of the plurality of SVs are greater than a horizontal uncertainty for the device based on current external positioning assistance data for the device. The device can remove the one or more SVs from an SV list comprising the plurality of SVs to generate an updated SV list. The device can determine the one or more positions for the device based on measurements of signals from SVs in the updated SV list and the current external positioning assistance data.

Abstract: Disclosed are techniques for wireless positioning. For example, a computing device can determine, based on a device being within the indoor environment, an updated horizontal uncertainty for the device is equal to an average of measurement errors of signals from satellite vehicles (SVs). The computing device can determine external positioning assistance data for the device has a reliability greater than one of a first reliability threshold or a second reliability threshold. The computing device can determine a number of the SVs of the SVs is greater than or equal to a first threshold number of SVs. The computing device can determine, based on the number of SVs being greater than or equal to the first threshold number of SVs, position(s) for the device based on the updated horizontal uncertainty for the device and a horizontal uncertainty for the device from the external positioning assistance data for the device.

Abstract: Disclosed are techniques for thermal mitigation. In an aspect, an apparatus includes one or more circuits, the one or more circuits, either alone or in combination, configured to: receive temperature readings from each of a plurality of temperature sensors of the apparatus, wherein each temperature sensor is associated with one of a plurality of thermal aggressor devices of the apparatus, output one or more first temperature readings of a first temperature sensor of the plurality of temperature sensors having a greatest thermal transient value among the plurality of thermal aggressor devices, and perform frequency error correction for the apparatus based on the one or more first temperature readings.

Abstract: A user equipment includes processor(s) configured to: determine a first acquired satellite vehicle (SV) list including first SV(s) from which a user equipment (UE) is receiving signals within a current epoch; for each first SV in the first acquired SV list, determine whether a first measurement error associated with the first SV indicates a line of sight (LOS) between the UE and the first SV; for each first SV in the first acquired SV list, in response to the first measurement error indicating the LOS between the UE and the first SV, add the first SV to an active SV list; determine whether a number of SVs in the active SV list meets a threshold; and in response to the number of SVs in the active SV list meeting the threshold, determine a position of the UE based on the signals received from the SVs in the active SV list.

Abstract: A method for determining a tunnel exit of a user equipment, includes: determining a tunnel entry of the user equipment; determining that the user equipment is receiving signals from one or more satellite vehicles; determining whether one or more parameters based on the signals received by the user equipment indicate a line of sight between the user equipment and the one or more satellite vehicles; and determining no tunnel exit of the user equipment in response to determining that the one or more parameters indicate no line of sight between the user equipment and at least one of the one or more satellite vehicles.