Contextual quality of user experience analysis using equipment dynamics

• US 10,313,905 B2
• Filed: 12/30/2015
• Issued: 06/04/2019
• Est. Priority Date: 10/29/2012
• Status: Active Grant

• Current Assignee: T-Mobile USA, Inc. (Deutsche Telekom AG)
• Original Assignee: T-Mobile USA, Inc. (Deutsche Telekom AG)
• Inventors: Lau, Kevin, Yoon, Jong Sung, Hui, Jie
• Primary Examiner(s): Truong, Lan-Huong
• Application Number:
  US14/984,714
• Publication Number:
  US 20160112894A1
• Time in Patent Office: 1,252 Days
• CPC Class Codes: H04B 17/318 Received signal strength
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/10 Active monitoring, e.g. heartbeat, ping or trace-route
• CPC Class Codes: H04L 43/16 Threshold monitoring
• CPC Class Codes: H04W 24/04 Arrangements for maintaining operational condition
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

The techniques described herein involve determining a context-based Quality of Experience based upon client device Quality of Experience diagnostic files in combination with client device equipment dynamics. Client device Quality of Experience (QoE) diagnostic files may indicate a reduced QoE at a client device, such as reduced signal strength or an increased number of dropped packets. User behavior during a reduced QoE event may be reflected as equipment dynamics, which may be included in equipment dynamics files. A service provider may receive information from the client device and may analyze the information to determine, with an increased confidence level, that the user device experiences a reduced QoE. Network resources may be allocated in response to the reduced QoE determination, thereby increasing a functioning of the computing network and an associated device'"'"'s Quality of Experience.

Claims

1. A method comprising:

receiving at least one diagnostic file from a client device, the at least one diagnostic file indicating at least one network signal indicator associated with the client device and indicating data from one or more sensors associated with the client device, wherein the one or more sensors include an accelerometer;

analyzing the at least one network signal indicator to determine a Quality of Experience (QoE) for the client device;

analyzing the data from the one or more sensors to determine a physical motion of the client device;

determining a degraded QoE event at the client device based at least in part on the QoE for the client device and the physical motion of the client device;

determining a gradual acceleration based at least in part on the accelerometer, the gradual acceleration associated with an acceleration of an elevator; and

presenting at least one message on a display of the client device based at least in part on the gradual acceleration and the at least one network signal indicator.

2. The method of claim 1, wherein the one or more sensors include a proximity sensor, and wherein the method further comprises determining that a display of the client device turns on a number of times within a predetermined time period in association with the degraded QoE event.

3. The method of claim 1, wherein the at least one network signal indicator is a received signal strength indicator (RSSI), and wherein the method further comprises determining that the RSSI indicates a signal strength below a predetermined threshold in association with the degraded QoE event.

4. The method of claim 1, wherein the one or more sensors further include at least one of a light sensor, a GPS sensor, a proximity sensor, a temperature sensor, and a humidity sensor.

5. The method of claim 1, wherein presenting the at least one message includes presenting a pre-cached advertisement stored in a memory of the client device.

6. The method of claim 1, further comprising:

receiving the at least one diagnostic file at a service provider associated with the client device; and

aggregating the at least one diagnostic file with a plurality of aggregated diagnostic files to determine at least one context-based pattern indicating the physical motion of the client device associated with the degraded QoE event.

7. The method of claim 1, further comprising requesting feedback from the client device to confirm the degraded QoE at the client device.

8. The method of claim 1, further comprising comparing the data indicating the physical motion of the client device with a pattern indicating a reduced QoE to increase a confidence level in the determining the degraded QoE event.

9. A system comprising:

one or more processors;

a memory; and

one or modules stored in the memory and executable by the one or more processors to perform operations comprising;

receiving at least one diagnostic file from a client device at a service provider associated with the client device, the at least one diagnostic file indicating at least one network signal indicator associated with the client device and indicating data from at least one sensor associated with the client device;

analyzing the at least one network signal indicator to determine a Quality of Experience (QoE) for the client device;

analyzing the data from the at least one sensor to determine a physical motion of the client device; and

determining a degraded QoE event at the client device based at least in part on the QoE for the client device and the physical motion of the client device, the determining including aggregating the at least one diagnostic file with a plurality of aggregated diagnostic files to determine at least one context-based pattern indicating the physical motion of the client device associated with the degraded QoE event.

10. The system of claim 9, wherein the at least one sensor is a proximity sensor, and wherein the operations further comprise determining that a display of the client device turns on a number of times within a predetermined time period in association with the degraded QoE event.

11. The system of claim 9, wherein the at least one network signal indicator is a received signal strength indicator (RSSI), and wherein the operations further comprise determining that the RSSI indicates a signal strength below a predetermined threshold in association with the degraded QoE event.

12. The system of claim 9, wherein the at least one sensor associated with the client device includes at least one of an accelerometer, a light sensor, a GPS sensor, a proximity sensor, a temperature sensor, and a humidity sensor.

13. The system of claim 9, wherein the at least one sensor is an accelerometer, and wherein the operations further comprise:

determining a gradual acceleration based at least in part on the accelerometer, the gradual acceleration associated with an acceleration of an elevator; and

presenting a pre-cached advertisement stored in a memory of the client device, the presenting based at least in part on the gradual acceleration and the at least one network signal indicator.

14. The system of claim 9, wherein the operations further comprise requesting feedback from the client device to confirm the degraded QoE at the client device.

15. The system of claim 9, wherein the operations further comprise comparing the data indicating the physical motion of the client device with a pattern indicating a reduced QoE to increase a confidence level in the determining the degraded QoE event.

16. A non-transitory computer storage medium having computer programming instructions stored thereon, the computer programming instruction, when executed by a processor of a computing device, causing the computing device to perform operations comprising:

receiving at least one diagnostic file from a client device, the at least one diagnostic file indicating at least one network signal indicator associated with the client device and indicating data from one or more sensors associated with the client device, wherein the one or more sensors include an accelerometer;

analyzing the at least one network signal indicator to determine a Quality of Experience (QoE) for the client device;

analyzing the data from the one or more sensors to determine a physical motion of the client device;

determining a degraded QoE event at the client device based at least in part on the QoE for the client device and the physical motion of the client device;

determining a gradual acceleration based at least in part on the accelerometer, the gradual acceleration associated with an acceleration of an elevator; and

presenting at least one message on a display of the client device based at least in part on the gradual acceleration and the at least one network signal indicator.

17. The non-transitory computer storage medium of claim 16, wherein the one or more sensors include a proximity sensor, and wherein the operations further comprise determining that a display of the client device turns on a number of times within a predetermined time period in association with the degraded QoE event.

18. The non-transitory computer storage medium of claim 16, wherein the at least one network signal indicator is a received signal strength indicator (RSSI), and wherein the operations further comprise determining that the RSSI indicates a signal strength below a predetermined threshold in association with the degraded QoE event.

19. The non-transitory computer storage medium of claim 16, wherein the one or more sensors further include at least one of a light sensor, a GPS sensor, a proximity sensor, a temperature sensor, and a humidity sensor.

20. The non-transitory computer storage medium of claim 16, wherein presenting the at least one message includes presenting a pre-cached advertisement stored in a memory of the client device.