Dynamic characterization of mobile devices in network-based wireless positioning systems

• US 9,253,594 B2
• Filed: 03/06/2013
• Issued: 02/02/2016
• Est. Priority Date: 03/06/2013
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Lakhzouri, Abdelmonaem, Curticapean, Florean, Guborev, Sergey
• Primary Examiner(s): Karikari, Kwasi
• Application Number:
  US13/787,655
• Publication Number:
  US 20140256347A1
• Time in Patent Office: 1,063 Days
• Field of Search: 455/456.1
• US Class Current: 1/1
• CPC Class Codes: G01S 5/01 Determining conditions which influence positioning, e.g. radio environment, state of motion or energy consumption
• CPC Class Codes: G01S 5/019 Energy consumption
• CPC Class Codes: G01S 5/0244 Accuracy or reliability of position solution or of measurements contributing thereto
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 64/00 Locating users or terminals or network equipment for network management purposes, e.g. mobility management
• CPC Class Codes: Y02D 30/70 in wireless communication networks

Abstract

Embodiments disclosed pertain to apparatuses, systems, and methods for dynamically characterizing a mobile station (MS) in a wireless network by determining the variability of measured Round Trip Time (RTT) parameter values, the variability of measured Received Signal Strength Indicator (RSSI) parameter values and other determined characteristics and classifying the MS into at least one of a plurality of classification groups based on the values of at least one of the RTT variability, the RSSI variability, or the other determined characteristics. The classification groups associated with a mobile station may be used to selecting a positioning method to determine the position of the MS.

Claims

1. A processor-implemented method for dynamically characterizing a mobile station (MS) in a wireless network, the method comprising:

determining at least one of;

a Round Trip Time (RTT) variability of measured RTT parameter values associated with the MS, or a Received Signal Strength Indicator (RSSI) variability of measured RSSI parameter values associated with the MS; and

classifying the MS into at least one classification group of a plurality of classification groups, wherein the at least one classification group is based on at least one of the RTT variability or the RSSI variability.

2. The processor-implemented method of claim 1, further comprising:

calculating a time bias associated with the MS from information pertaining to a number of antennas on the MS;

or

obtaining information pertaining to a current power savings mode of the MS.

3. The processor-implemented method of claim 2, further comprising:

providing the at least one classification group of the MS, and at least one of;

the time bias or the current power savings mode to a positioning engine to determine a position fix of the MS.

4. The processor implemented method of claim 2, further comprising:

obtaining a Media Access Control (MAC) address of the MS; and

storing the MAC address of the MS, the at least one classification group of the MS, and at least one of;

the RSSI variability, the RTT variability, the number of antennas on the MS, the time bias associated with the MS, or the current power savings mode of the MS in a record of a database coupled to the wireless network.

5. The processor-implemented method of claim 1, wherein:

the RTT variability and RSSI variability are determined by a RTT standard deviation based on the RTT parameter values and a RSSI standard deviation based on the RSSI parameter values, respectively; and

the at least one classification group of MS is based, in part, on at least one of;

the RTT standard deviation, or the RSSI standard deviation.

6. The processor-implemented method of claim 2, wherein the time bias is a delay between the first and last antenna transmission.

7. The processor implemented method of claim 4, further comprising:

querying the database with the MAC address of the MS to obtain information pertaining to at least one of;

the at least one classification group of the MS, the time bias of the MS, a stored power savings mode of the MS, wherein the query occurs when the MS reconnects to the wireless network at a subsequent time; and

providing the information obtained in response to the query to a positioning engine to determine a position fix for the MS.

8. The processor implemented method of claim 2, wherein the wireless network is a Wireless Local Area Network (WLAN) and the dynamic characterization is performed using standard IEE 802.11 frames.

9. The processor-implemented method of claim 2, wherein the current power savings mode comprises one of:

Constantly Awake (CAM) mode, Power Save Mode (PSM), Unscheduled Automatic Power Save Delivery (U-APSD), WMM Power Save (WMM-PS), Power Save Multi-Poll (PSMP), or Dynamic MIMO Power Save.

10. The processor implemented method of claim 1, wherein the method is performed by a server coupled to the wireless network.

11. A processor implemented method for performing mobile station positioning operations over a wireless network, the method comprising:

obtaining at least one classification group associated with a mobile station (MS), wherein the at least one classification group is based on of at least one of a value of a Round Trip Time (RTT) variability associated with the MS, or a value of a Received Signal Strength Indicator (RSSI) variability associated with the MS; and

selecting a positioning method based, in part, on the at least one classification group of the MS.

12. The processor-implemented method of claim 11, further comprising obtaining information about a current power savings mode of the MS to schedule measurement requests related to the positioning operations during MS wake periods.

13. The processor-implemented method of claim 11, wherein the selected positioning method:

increases a number of RTT measurements for the MS during positioning operations, if the at least one classification group indicates that the RTT variability is moderate; and

deweights the RTT measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RTT variability is high.

14. The processor-implemented method of claim 11, wherein the selected positioning method:

increases a number of RSSI measurements during positioning operations, if the at least one classification group indicates that the RSSI variability is moderate; and

deweights the RSSI measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RSSI variability is high.

15. An apparatus comprising:

a communications interface to communicate with a wireless network and receive information pertaining to at least one of measured Round Trip Time (RTT) parameter values associated with a Mobile Station (MS), or measured Received Signal Strength Indicator (RSSI) parameter values associated with the MS;

a processor coupled to the communications interface, wherein the processor is configured to;

determine at least one of a RTT variability of the RTT parameter, or a RSSI variability of the RSSI parameter from the received information; and

classify the MS into at least one classification group of a plurality of classification groups, wherein the at least one classification group is based on at least one of the RTT variability or the RSSI variability.

16. The apparatus of claim 15, wherein:

the communications interface further to receive information pertaining to at least one of;

a number of antennas on the MS, or a power savings mode of the MS; and

when information pertaining to the number of antennas on the MS is received, the processor is further configured to calculate a time bias associated with the MS using the information pertaining to the number of antennas on the MS.

17. The apparatus of claim 16, wherein the processor is further configured to use the at least one classification group of the MS, and at least one of:

the time bias or the power savings mode to determine a position fix of the MS.

18. The apparatus of claim 16, wherein the apparatus further comprises:

a memory comprising a mobile station characterization database;

the communications interface further to receive a Media Access Control (MAC) address of the MS; and

the processor is further configured to store the received MAC address of the MS, the at least one of classification group of the MS, and at least one of;

the RSSI variability, the RTT variability, the number of antennas on the MS, the time bias associated with the MS, or the power savings mode of the MS in a record of the characterization database.

19. The apparatus of claim 15, wherein:

the RTT variability and RSSI variability are determined by a RTT standard deviation based on the RTT parameter values and a RSSI standard deviation based on the RSSI parameter values, respectively; and

the at least one classification group of MS is based, in part, on at least one of the RTT standard deviation, or the RSSI standard deviation.

20. The apparatus of claim 16, wherein the time bias is a delay between the first and last antenna transmission.

21. The apparatus of claim 18 wherein the processor is further configured to:

query the characterization database using the MAC address of the MS to retrieve the record in the characterization database with information pertaining to at least one of;

the at least one classification group of the MS, the time bias of the MS, or the power savings mode of the MS, wherein the query occurs when the MS reconnects to the wireless network at a subsequent time; and

determine a position fix for the MS using information in the retrieved characterization database record.

22. The apparatus of claim 15, wherein the wireless network is a Wireless Local Area Network (WLAN) and the communications interface communicates with the WLAN using standard IEE 802.11 frames.

23. An apparatus for performing mobile station positioning operations comprising:

a memory to store a mobile station characterization database comprising a Media Access Control (MAC) address of a Mobile Station (MS), wherein the MAC address is associated with at least one classification group, the at least one classification group being based on at least one of;

a value of a Round Trip Time (RTT) variability associated with the MS, or a value of a Received Signal Strength Indicator (RSSI) variability associated with the MS;

a communications interface to communicate with the MS over a wireless network; and

a processor coupled to the memory and the communications interface, the processor to perform positioning operations based, in part, on the at least one classification group of the MS.

24. The apparatus of claim 23, wherein the processor is further configured to use information about a power savings mode of the MS to schedule measurement requests related to the positioning operations during MS wake periods.

25. The apparatus of claim 23, wherein the processor is further configured to:

cause an increase in a number of RTT measurements taken during positioning, if the at least one classification group indicates that the RTT variability is moderate; and

deweight the RTT measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RTT variability is high.

26. The apparatus of claim 23, wherein the processor is further configured to:

cause an increase in a number of RSSI measurements acquired during positioning, if the at least one classification group indicates that the RSSI variability is moderate; and

deweight the RSSI measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RSSI variability is high.

27. An apparatus comprising:

means for communicating with a wireless network, the means for communicating to receive information pertaining to at least one of;

measured Round Trip Time (RTT) parameter values associated with a Mobile Station (MS), or measured Received Signal Strength Indicator (RSSI) parameter values associated with the MS;

processing means coupled to the means for communicating, the processing means further comprising;

means for determining at least one of a variability of the Round Trip Time (RTT) parameter, or a variability of the Received Signal Strength Indicator (RSSI) parameter from the received information; and

means for classifying the MS into at least one classification group of a plurality of classification groups, wherein the at least one classification group is based on at least one of the RTT variability or the RSSI variability.

28. The apparatus of claim 27, wherein:

the means for communicating further comprises means for receiving information pertaining to at least one of;

a number of antennas on the MS, or a power savings mode of the MS; and

when information pertaining to the number of antennas on the MS is received, the processing means further comprises means for calculating a time bias associated with the MS using the information pertaining to the number of antennas on the MS.

29. The apparatus of claim 28, wherein the processing means further comprises means to use the at least one classification group of the MS, and at least one of:

the time bias or the power savings mode to determine a position fix of the MS.

30. The apparatus of claim 28, wherein the apparatus further comprises:

means for storing a mobile station characterization database;

the means for communicating further to receive a Media Access Control (MAC) address of the MS; and

the processing means further comprising means for storing the received MAC address of the MS, the at least one of classification group of the MS, and at least one of;

the RSSI variability, the RTT variability, the number of antennas on the MS, the time bias associated with the MS, or the power savings mode of the MS in a record of the characterization database.

31. The apparatus of claim 27, wherein:

the RTT variability and RSSI variability are determined by a RTT standard deviation based on the RTT parameter values and a RSSI standard deviation based on the RSSI parameter values, respectively; and

the at least one classification group of MS is based, in part, on at least one of the RTT standard deviation, or the RSSI standard deviation.

32. The apparatus of claim 28, wherein the time bias is a delay between the first and last antenna transmission.

33. The apparatus of claim 30, wherein the processing means further comprises:

means for querying the characterization database using the MAC address of the MS to retrieve the record in the characterization database with information pertaining to at least one of;

the at least one classification group of the MS, the time bias of the MS, or power savings mode of the MS, the query occurring when the MS reconnects to the wireless network at a subsequent time; and

means for determining a position fix for the MS using information in the retrieved characterization database record.

34. The apparatus of claim 27, wherein the wireless network is a Wireless Local Area Network (WLAN) and the means for communicating uses standard IEE 802.11 frames to communicate with the WLAN.

35. An apparatus for performing mobile station positioning operations comprising:

means for storing a mobile station characterization database comprising a Media Access Control (MAC) address of a Mobile Station (MS), wherein the MAC address is associated with at least one classification group, the at least one classification group being based at least one of a value of a Round Trip Time (RTT) variability associated with the MS, or a value of a Received Signal Strength Indicator (RSSI) variability associated with the MS;

means for communicating with the MS over a wireless network; and

processing means coupled to the means for storing and the means for communicating, the processing means further comprising means for performing positioning operations based, in part, on the at least one classification group of the MS.

36. The apparatus of claim 35, wherein the processing means further comprises means for scheduling measurement requests related to the positioning operations during MS wake periods based, in part, on information about a power savings mode of the MS.

37. The apparatus of claim 35, wherein the processing means further comprises:

means to cause an increase in a number of RTT measurements taken during positioning, if the at least one classification group indicates that the RTT variability is moderate; and

means to deweight the RTT measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RTT variability is high.

38. The apparatus of claim 35, wherein the processing means further comprises:

means to cause an increase in a number of RSSI measurements acquired during positioning, if the at least one classification group indicates that the RSSI variability is moderate; and

means to deweight the RSSI measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RSSI variability is high.

39. A non-transitory computer readable medium for dynamically characterizing a mobile station (MS) in a wireless network, the computer readable medium storing instructions executable by at least one processor to:

determine at least one of;

a Round Trip Time (RTT) variability of measured RTT parameter values associated with the MS, or a Received Signal Strength Indicator (RSSI) variability of measured RSSI parameter values associated with the MS; and

classify the MS into at least one classification group of a plurality of classification groups, wherein the at least one classification group is based on at least one of the RTT variability or the RSSI variability.

40. The computer readable medium of claim 39, further comprising instructions executable by the at least one processor to:

calculate a time bias associated with the MS from information pertaining to a number of antennas on the MS;

or

obtain information pertaining to a current power savings mode of the MS.

41. The computer readable medium of claim 40, further comprising instructions executable by the at least one processor to:

provide the at least one classification group of the MS, and at least one of;

the time bias, or current power savings mode to a positioning engine to determine a position fix of the MS.

42. The computer readable medium of claim 40, further comprising instructions executable by the at least one processor to:

obtain a Media Access Control (MAC) address of the MS; and

store the MAC address of the MS, the at least one of classification group of the MS, and at least one of;

the RSSI variability, the RTT variability, the number of antennas on the MS, the time bias associated with the MS, or the current power savings mode of the MS in a record of a database coupled to the wireless network.

43. The computer readable medium of claim 39, wherein:

the RTT variability and RSSI variability are determined by a RTT standard deviation based on the RTT parameter values and a RSSI standard deviation based on the RSSI parameter values, respectively; and

the at least one classification group of MS is based, in part, on at least one of;

the RTT standard deviation, or the RSSI standard deviation.

44. The computer readable medium of claim 40, wherein the time bias is a delay between the first and last antenna transmission.

45. The computer readable medium of claim 43, further comprising instructions executable by the at least one processor to:

query the database with the MAC address of the MS to obtain information pertaining to at least one of;

the at least one classification group of the MS, the time bias of the MS, a stored power savings mode of the MS, wherein the query occurs when the MS reconnects to the wireless network at a subsequent time; and

provide the information obtained in response to the query to a positioning engine to determine a position fix for the MS.

46. The computer readable medium of claim 39, wherein the wireless network is a Wireless Local Area Network (WLAN) and the dynamic characterization is performed using standard IEE 802.11 frames.

47. The computer readable medium of claim 40, wherein the current power savings mode comprises one of:

Constantly Awake (CAM) mode, Power Save Mode (PSM), Unscheduled Automatic Power Save Delivery (U-APSD), WMM Power Save (WMM-PS), Power Save Multi-Poll (PSMP), or Dynamic MIMO Power Save.

48. The computer readable medium of claim 39, wherein the method is performed by a server coupled to the wireless network.

49. A non-transitory computer readable medium for mobile station positioning over a wireless network, the computer readable medium storing instructions executable by at least one processor to:

obtain at least one classification group associated with a mobile station (MS), wherein the at least one classification group is based on at least one of a value of a Round Trip Time (RTT) variability associated with the MS, or a value of a Received Signal Strength Indicator (RSSI) variability associated with the MS; and

select a positioning method based, in part, on the at least one classification group of the MS.

50. The computer readable medium of claim 49, further comprising instructions executable by the at least one processor to:

obtain information about a current power savings mode of the MS to schedule measurement requests related to the positioning during MS wake periods.

51. The computer readable medium of claim 49, wherein the selected positioning method further comprises instructions executable by the at least one processor to:

increase a number of RTT measurements for the MS during positioning, if the at least one classification group indicates that the RTT variability is moderate; and

deweight the RTT measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RTT variability is high.

52. The computer readable medium of claim 49, wherein the selected positioning method further comprises instructions executable by the at least one processor to:

increase a number of RSSI measurements during positioning, if the at least one classification group indicates that the RSSI variability is moderate; and

deweight the RSSI measurements during computation of a position fix for the MS, if the at least one classification group indicates that the RSSI variability is high.