Abstract: In some implementations, a processor may retrieve predicted positioning data and predicted orbital data from global navigation satellite service (GNSS) positioning circuitry of a wireless device in response to a request for device time. The processor may retrieve long-term learning (LTL) data for a temperature sensing crystal (TSX) of the wireless device, the LTL data including S-curve characteristics of the TSX, and the time tracking uncertainty of the TSX. The processor may generate a GNSS-based device time estimate using the predicted positioning data and the predicted orbital data. The processor may perform TSX-based device time processing by updating the GNSS-based device time estimate using a clock signal of the TSX to generate a final device time estimate, the updating based on the retrieved LTL data for the TSX.

Abstract: In some implementations, a processor may retrieve predicted positioning data and predicted orbital data from global navigation satellite service (GNSS) positioning circuitry of a wireless device in response to a request for device time. The processor may retrieve long-term learning (LTL) data for a temperature sensing crystal (TSX) of the wireless device, the LTL data including S-curve characteristics of the TSX, and the time tracking uncertainty of the TSX. The processor may generate a GNSS-based device time estimate using the predicted positioning data and the predicted orbital data. The processor may perform TSX-based device time processing by updating the GNSS-based device time estimate using a clock signal of the TSX to generate a final device time estimate, the updating based on the retrieved LTL data for the TSX.

Abstract: Some demonstrative embodiments include apparatuses, devices, systems and methods of a Global Navigation Satellite System (GNSS) measurement.

Abstract: Described is a navigation solution calculation method and a user device. The method can include providing an assistance request to a server. One or more signal path signatures can be received from the server. The one or more signal path signatures can be associated with a first position of the user device. The one or more signal path signatures can be compared with one or more satellite signals received by the user device from one or more satellites. A second position of the user device can be determined based on the comparison.

Abstract: Some demonstrative embodiments include apparatuses, devices, systems and methods of a Global Navigation Satellite System (GNSS) measurement.

Abstract: A single high-speed bus accommodates both low-rate and high-rate bi-directional signal traffic by interleaving the traffic at the two rates sequentially so that all the data in the bus at any given time is either high-rate or low-rate. The interleaving is executed by a statistical aggregator according to a policy tailored to the traffic expected in the particular bus. The policy may be static and predetermined, or it may be dynamic and adaptive. Adaptive policies are continually updated with predictions of future traffic based on the statistics of past and/or present traffic. The technique may be implemented in both on-chip and system-level bus interfaces.

Abstract: Some demonstrative embodiments include apparatuses, devices, systems and methods of a Global Navigation Satellite System (GNSS) measurement.

Abstract: The disclosure relates to a mobile device, comprising: a radio receiver configured to receive a radio signal; a power receiving unit (PRU) configured to receive a wireless charging signal from a power transmission unit (PTU) configured to charge the mobile device; a wireless broadcast receiver configured to receive a harmonic of the wireless charging signal during charging of the mobile device; a frequency manager configured to scan for a frequency of the harmonic and to detect a fundamental frequency of the wireless charging signal based on the scanned harmonic; and a mitigation module configured to mitigate a harmonic content of the wireless charging signal in the received radio signal based on the detected fundamental frequency of the wireless charging signal.

Abstract: Some demonstrative embodiments include apparatuses, devices, systems and methods of a Global Navigation Satellite System (GNSS) measurement.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums that provide location based services such as navigation in an indoor space by utilizing a network of specially configured locator nodes (LNs) and the identified line of sight (LOS) relationships between the LNs. The LOS relationships may be automatically learned by the LNs.

Abstract: A single high-speed bus accommodates both low-rate and high-rate bi-directional signal traffic by interleaving the traffic at the two rates sequentially so that all the data in the bus at any given time is either high-rate or low-rate. The interleaving is executed by a statistical aggregator according to a policy tailored to the traffic expected in the particular bus. The policy may be static and predetermined, or it may be dynamic and adaptive. Adaptive policies are continually updated with predictions of future traffic based on the statistics of past and/or present traffic. The technique may be implemented in both on-chip and system-level bus interfaces.

Abstract: The disclosure relates to a mobile device, comprising: a radio receiver configured to receive a radio signal; a power receiving unit (PRU) configured to receive a wireless charging signal from a power transmission unit (PTU) configured to charge the mobile device; a wireless broadcast receiver configured to receive a harmonic of the wireless charging signal during charging of the mobile device; a frequency manager configured to scan for a frequency of the harmonic and to detect a fundamental frequency of the wireless charging signal based on the scanned harmonic; and a mitigation module configured to mitigate a harmonic content of the wireless charging signal in the received radio signal based on the detected fundamental frequency of the wireless charging signal.

Abstract: A single high-speed bus accommodates both low-rate and high-rate bi-directional signal traffic by interleaving the traffic at the two rates sequentially so that all the data in the bus at any given time is either high-rate or low-rate. The interleaving is executed by a statistical aggregator according to a policy tailored to the traffic expected in the particular bus. The policy may be static and predetermined, or it may be dynamic and adaptive. Adaptive policies are continually updated with predictions of future traffic based on the statistics of past and/or present traffic. The technique may be implemented in both on-chip and system-level bus interfaces.

Abstract: Described is a navigation solution calculation method and a user device. The method can include providing an assistance request to a server. One or more signal path signatures can be received from the server. The one or more signal path signatures can be associated with a first position of the user device. The one or more signal path signatures can be compared with one or more satellite signals received by the user device from one or more satellites. A second position of the user device can be determined based on the comparison.

Abstract: Generally discussed herein are systems and apparatuses for determining a location of a device. Also discussed herein are methods of using the systems and apparatuses. According to an example a mobile device may include processing circuitry including a Measurement Engine (ME) and a Position Engine (PE), wherein the PE is configured to provide a location estimate of the device using a location function, generate an estimate location function that approximates the location function to within a specified error, and provide the estimate location function to the ME, and wherein the ME is configured to receive a geo fence boundary defining a boundary of a geographical region, determine a plurality of pseudo ranges between the device and a plurality of navigation satellites, and determine, using the estimate location function and the plurality of pseudo ranges, whether the device is within the geographical region defined by the geo fence boundary.

Abstract: Some demonstrative embodiments include devices, systems and/or methods of communicating Assisted Global-Navigation-Satellite-System (A-GNSS) information. For example, a portable device may include may include a Global-Navigation-Satellite-System (GNSS) receiver to receive GNSS information from a plurality of satellites; a non-cellular transceiver to receive Assisted-GNSS (A-GNSS) information from a cellular device via a non-cellular network; and a processor to process the GNSS information based on the A-GNSS information.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums that provide location based services such as navigation in an indoor space by utilizing a network of specially configured locator nodes (LNs) and the identified line of sight (LOS) relationships between the LNs. The LOS relationships may be automatically learned by the LNs.

Abstract: A single high-speed bus accommodates both low-rate and high-rate bi-directional signal traffic by interleaving the traffic at the two rates sequentially so that all the data in the bus at any given time is either high-rate or low-rate. The interleaving is executed by a statistical aggregator according to a policy tailored to the traffic expected in the particular bus. The policy may be static and predetermined, or it may be dynamic and adaptive. Adaptive policies are continually updated with predictions of future traffic based on the statistics of past and/or present traffic. The technique may be implemented in both on-chip and system-level bus interfaces.

Abstract: Generally discussed herein are systems and apparatuses for determining a location of a device. Also discussed herein are methods of using the systems and apparatuses. According to an example a mobile device may include processing circuitry including a Measurement Engine (ME) and a Position Engine (PE), wherein the PE is configured to provide a location estimate of the device using a location function, generate an estimate location function that approximates the location function to within a specified error, and provide the estimate location function to the ME, and wherein the ME is configured to receive a geo fence boundary defining a boundary of a geographical region, determine a plurality of pseudo ranges between the device and a plurality of navigation satellites, and determine, using the estimate location function and the plurality of pseudo ranges, whether the device is within the geographical region defined by the geo fence boundary.

Abstract: Disclosed in some examples are methods, systems, and machine readable mediums that provide location based services such as navigation in an indoor space by utilizing a network of specially configured locator nodes (LNs) and the identified line of sight (LOS) relationships between the LNs. The LOS relationships may be automatically learned by the LNs.