Contextual Quality of User Experience Analysis Using Equipment Dynamics

Patent metadata

Field	Value
Publication number	US-2016112894-A1
Application number	US-201514984714-A
Country	US
Kind code	A1
Filing date	Dec 30, 2015
Priority date	Oct 29, 2012
Publication date	Apr 21, 2016
Grant date	—

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.

First claim

What is claimed is:

1 . A computer-implemented method comprising:
receiving at least one diagnostic file from a client device, the at least one diagnostic file including a received signal strength indicator (RSSI) associated with the client device and including data indicating a user interface state associated with the client device; analyzing the RSSI to determine a Quality of Experience (QoE) for the client device; analyzing the user interface state to determine that a display of the client device cycled between an on state and an off state a number of times within a time period; and determining a degraded QoE event for the client device based at least in part on the QoE for the client device and user interface state of the client device.

2 . The computer-implemented 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 degraded QoE event.

3 . The computer-implemented method of claim 1 , further comprising deploying one or more network resources to improve a functioning of a wireless network associated with the client device.

4 . 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 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.

5 . The method of claim 4 , wherein the at least one sensor is 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.

6 . The method of claim 4 , 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.

7 . The method of claim 4 , 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.

8 . The method of claim 4 , wherein the at least one sensor is an accelerometer, and wherein the method further comprises:
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.

9 . The method of claim 8 , wherein presenting the at least one message includes presenting a pre-cached advertisement stored in a memory of the client device.

10 . The method of claim 4 , 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.

11 . The method of claim 4 , further comprising requesting feedback from the client device to confirm the degraded QoE at the client device.

12 . The method of claim 4 , 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.

13 . A system comprising:
one or more processors; a memory; at least one sensor; 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, the at least one diagnostic file indicating at least one network signal indicator associated with the client device and indicating data from the 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.

14 . The system of claim 13 , 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.

15 . The system of claim 13 , 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.

16 . The system of claim 13 , 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.

17 . The system of claim 13 , 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.

18 . The system of claim 13 , wherein the operations further comprise:
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.

19 . The system of claim 13 , wherein the operations further comprise requesting feedback from the client device to confirm the degraded QoE at the client device.

20 . The system of claim 13 , 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.

Assignees

• T Mobile Usa Inc

Inventors

• Lau Kevin
• Yoon Jong Sung
• Hui Jie

Classifications

• H04W24/10 Primary

  Scheduling measurement reports {; Arrangements for measurement reports} · CPC title

• H04L41/5025

  by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade · CPC title

• H04L43/16

  Threshold monitoring · CPC title

• H04W24/04

  Arrangements for maintaining operational condition · CPC title

• H04L41/5009

  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 title