Determining mobility states for a user device

Patent metadata

Field	Value
Publication number	US-8934869-B2
Application number	US-201213720673-A
Country	US
Kind code	B2
Filing date	Dec 19, 2012
Priority date	Dec 19, 2012
Publication date	Jan 13, 2015
Grant date	Jan 13, 2015

Abstract

A mobility module receives sensor data from one or more sensors and determines the movement of type of movement of a user device, based on the sensor data. Based on the movement or rate of movement, the mobility module transitions the user device to a mobility state. The user device evaluates the power levels of radio signals from neighbor base stations using one or more measurement parameters that are scaled of offset based on the mobility state.

First claim

What is claimed is:

1. A method comprising:
receiving, by a mobile computing device, location data from a global positioning system device;
computing, by the mobile computing device, movement data based, at least in part, on the location data;
determining, by the mobile computing device, a rate of movement of the mobile computing device based, at least in part, on the movement data;
determining a mobility state of the mobile computing device based, at least in part, on the rate of movement;
determining a first signal strength of a neighboring base station relative to a second signal strength of a current base station;
determining, by the mobile computing device, a scaling factor based on the mobility state;
applying the scaling factor to at least one of the first signal strength or the second signal strength; and
reselecting to the neighboring base station responsive to determining that the first signal strength is greater than the second signal strength for a period of time.

2. The method of claim 1 , wherein the mobile computing device determines the mobility state irrespective of a number of reselections performed by the mobile computing device.

3. The method of claim 1 , wherein:
determining the scaling factor comprises determining a first scaling factor for the first signal strength and determining a second scaling factor for the second signal strength; and
applying the scaling factor to at least one of the first signal strength or the second signal strength comprises applying the first scaling factor to the first signal strength and applying the second scaling factor to the second signal strength.

4. The method of claim 1 , wherein the mobility state is indicative of the rate of movement of the mobile computing device and wherein the mobility state is associated with a number of reselections.

5. The method of claim 1 , wherein the mobility state comprises one of:
a high mobility state;
a medium mobility state; or
a normal mobility state.

6. A mobile computing device comprising:
a sensor device to obtain sensor data;
a processor, coupled to the sensor device, the processor to:
receive the sensor data from the sensor device;
determine a rate of movement of the mobile computing device based, at least in part, on the sensor data;
determine a mobility state of the mobile computing device based on the rate of movement;
determine a first signal strength of a neighboring base station relative to a second signal strength of a current base station;
determine a scaling factor based on the mobility state;
apply the scaling factor to at least one of the first signal strength or the second signal strength; and
reselect to the neighboring base station responsive to a determination that the first signal strength is greater than the second signal strength for a period of time.

7. The mobile computing device of claim 6 , wherein the processor is further to:
transition to the mobility state or remain in the mobility state, irrespective of a number of reselections performed by the mobile computing device.

8. The mobile computing device of claim 6 , wherein:
determining the scaling factor comprises determining a first scaling factor for the first signal strength and determining a second scaling factor for the second signal strength; and
applying the scaling factor to at least one of the first signal strength or the second signal strength comprises applying the first scaling factor to the first signal strength and applying the second scaling factor to the second signal strength.

9. The mobile computing device of claim 6 , wherein the processor is to determine the rate of movement of the mobile computing device by:
computing movement data based, at least in part, on the sensor data; and
determining the rate of movement of the mobile computing device based, at least in part, on the movement data.

10. The mobile computing device of claim 6 , wherein the mobility state comprises one of:
a high mobility state;
a medium mobility state; or
a normal mobility state.

11. The mobile computing device of claim 6 , wherein the sensor device comprises one or more of a global positioning system device, a gyroscope, an accelerometer, a compass, a camera, or a barometer.

12. The mobile computing device of claim 6 , wherein the processor is to determine the rate of movement of the mobile computing device by:
determining a physical location of the mobile computing device based on the sensor data; and
determining the rate of movement based on the physical location of the mobile computing device.

13. A non-transitory computer-readable storage medium storing instructions which, when executed, cause a processor to perform operations comprising:
determining a rate of movement of a mobile computing device based, at least in part, on sensor data received from a sensor device;
determining a mobility state of the mobile computing device based on the rate of movement;
determining a first signal strength of a neighboring base station relative to a second signal strength of a current base station;
determining, by the processor, a scaling factor based on the mobility state;
applying the scaling factor to at least one of the first signal strength or the second signal strength; and
reselecting, by the processor, to the neighboring base station responsive to determining that the first signal strength is greater than the second signal strength for a period of time.

14. The non-transitory computer-readable storage medium of claim 13 , wherein the operations further comprise:
transitioning to the mobility state irrespective of a number of reselections performed by the mobile computing device.

15. The non-transitory computer-readable storage medium of claim 13 , wherein the operations further comprise:
remaining in the mobility state irrespective of a number of reselections performed by the mobile computing device.

16. The non-transitory computer-readable storage medium of claim 13 , wherein:
determining the scaling factor comprises determining a first scaling factor for the first signal strength and determining a second scaling factor for the second signal strength; and
applying the scaling factor to at least one of the first signal strength or the second signal strength comprises applying the first scaling factor to the first signal strength and applying the second scaling factor to the second signal strength.

17. The non-transitory computer-readable storage medium of claim 13 , wherein determining the rate of movement of the mobile computing device comprises:
computing movement data based, at least in part, on the sensor data; and
determining the rate of movement of the mobile computing device based, at least in part, on the movement data.

18. The non-transitory computer-readable storage medium of claim 13 , wherein the mobility state comprises one of:
a high mobility state;
a medium mobility state; or
a normal mobility state.

19. The non-transitory computer-readable storage medium of claim 13 , wherein the sensor device comprises one or more of a global positioning system device, a gyroscope, an accelerometer, a compass, a camera, or a barometer.

20. The non-transitory computer-readable storage medium of claim 13 , wherein determining the rate of movement comprises:
determining a physical location of the mobile computing device based on the sensor data; and
determining the rate of movement based on the physical location of the mobile computing device.

Assignees

• Amazon Tech Inc

Inventors

• Edara Kiran K
• Gopalakrishnan Varada

Classifications

• H04W64/006

  with additional information processing, e.g. for direction or speed determination · CPC title

• H04W36/362 Primary

  Conditional handover · CPC title

• H04W36/302

  due to low signal strength · CPC title

• H04W36/324 Primary

  by mobility data, e.g. speed data · CPC title

• H04W36/36

  by user or terminal equipment · CPC title