WIRELESS COMMUNICATION DATA ANALYSIS AND REPORTING

• US 20170078171A1
• Filed: 04/28/2016
• Published: 03/16/2017
• Est. Priority Date: 09/10/2015
• Status: Active Grant

• Current Assignee: Tupl, Inc.
• Original Assignee: Tupl, Inc.
• Inventors: Tapia, Pablo, Sanchez-Mejias, Rafael
• Granted Patent: US 10,164,850 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• 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 41/5087 wherein the managed service relates to voice services management of VoIP services H04M7/0081
• CPC Class Codes: H04L 65/80 Responding to QoS
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

A communication analytics engine that executes in conjunction with a data collection platform may provide a unified and scalable solution for call data aggregation and processing. A data collection platform may establish a communication connection with a wireless carrier network. The data collection platform may collect call data of multiple user devices via the communication connection, in which the multiple user devices may use the wireless carrier network to initiate and receive calls to one or more additional devices. The data collection platform may convert the call data into a format that is readable by the communication analytics engine. The communication analytics engine may analyze the call data to generate analytic results that includes one or more key performance indicators (KPIs).

Claims

1. One or more non-transitory computer-readable media storing computer-executable instructions that upon execution cause one or more processors to perform acts comprising:

establishing a communication connection between a data collection platform executing one or more computing devices and a wireless carrier network;

collecting call data of multiple user devices at the data collection platform via the communication connection, the multiple user devices use the wireless carrier network to initiate and receive calls to one or more additional devices;

converting the call data into a format that is readable by a communication analytics engine that executes in conjunction with the data collection platform on the one or more computing devices; and

analyzing at least a portion of the call data via the communication analytics engine executing on the one or more computing devices to generate analytic results that includes one or more key performance indicators (KPIs).

2. The one or more non-transitory computer-readable media of claim 1, wherein the acts further comprise providing the analytic results for the call data to a computing device for presentation.

3. The one or more non-transitory computer-readable media of claim 2, wherein the providing the analytics results includes providing a summary view of the analytic results that includes a topology tree, wherein a node of the topology tree is selectable to show specific voice over LTE (VoLTE) KPI information for a particular time period, the specific VoLTE KPI information including at least one of a dropped call rate (DCR) for the particular time period, an average failure rate (AFR) for the particular time period, a call setup time (CST) during the particular time period, an audio quality mean opinion score (MOS) for the particular time period, a handover failure rate for the time period, and VoLTE coverage in a predetermined geographical area for the particular time period.

4. The one or more non-transitory computer-readable media of claim 3, wherein the summary view further displays at least one of a chart that shows voice quality ratings, a breakdown of voice problems that includes one or more of dropped calls, access failures, or repeat calls, or a chart that shows performance comparisons of one or more of the DCR, the AFR, the audio quality MOS, the CST for voice over LTE (VoLTE) calling and Wi-Fi calling.

5. The one or more non-transitory computer-readable media of claim 2, wherein the providing the analytics results includes providing a subscriber aggregate view of mobile calling performance KPI information for a subscriber over a time period that shows VoLTE calling and Wi-Fi calling statistics of the subscriber over the time period.

6. The one or more non-transitory computer-readable media of claim 2, wherein the providing the analytics results includes providing a subscriber call view that shows KPI information regarding call made by a subscriber that includes one or more of a duration of the call, a call success or failure status of the call, whether the call is an originating or terminating call, whether the call uses circuit-switched calling, VoLTE calling or Wi-Fi calling, or configuration details of the user device used to make the call.

7. The one or more non-transitory computer-readable media of claim 2, wherein the providing the analytics results includes presenting a user device aggregate view that shows aggregated KPI statistics for a particular user device model that includes at least one of a dropped call rate (DCR), an average failure rate (AFR), an audio quality mean opinion score (MOS), a call setup time (CST), or coverage details for the user device model.

8. The one or more non-transitory computer-readable media of claim 2, wherein the providing the analytics results includes presenting a top offender view that identifies a predetermined number of one or more subscribers, one or more user devices, or one or more network infrastructure components that have the worst performance for a selected KPI in a selected area.

9. The one or more non-transitory computer-readable media of claim 1, wherein the acts further comprise:

analyzing the one or more KPIs at the communication analytics engine according to one or more detection rules to detect a call issue that affects one or more user devices using the wireless carrier network or one or more network infrastructure elements of the wireless carrier network;

generating one or more alerts regarding the call issue at the communication analytics engine according to at least one alert rule; and

providing the one or more one or more alerts regarding the call issue to a computing device for presentation.

11. The one or more non-transitory computer-readable media of claim 1, wherein the collecting includes collecting corresponding call data of a user device that is provided by a device application on the user device that obtains the corresponding call data via an IP Multimedia Subsystem (IMS) stack trace.

12. The one or more non-transitory computer-readable media of claim 1, wherein the collecting includes collecting the call data via a data management layer of the data collection platform, the data collection platform further including a cloud layer that store the call data collected by the data management layer in multiple virtual data storage clusters.

13. The one or more non-transitory computer-readable media of claim 1, wherein the converting includes converting the call data included in JavaScript Object Notation (JSON) records for a particular time period into an integrated data file that is readable by the communication analytics engine.

14. The one or more non-transitory computer-readable media of claim 1, further comprising analyzing the call data in conjunction with network performance data collected by a network analytics engine and network test data collected by an active testing engine to extrapolate one or more additional key performance indicators (KPIs).

10. The one or more non-transitory computer-readable media of claim 10, wherein the acts further comprises receiving an update to the one or more detection rules or the one or more alert rules that are generated based on user feedback regarding effectiveness of the one or more detection rules or the one or more alert rules.

15. A computer-implemented method, comprising:

establishing a communication connection between a data collection platform executing one or more computing devices and a wireless carrier network;

collecting call data of multiple user devices at the data collection platform via the communication connection, the multiple user devices use the wireless carrier network to initiate and receive calls to one or more additional devices;

converting the call data into a format that is readable by a communication analytics engine that executes in conjunction with the data collection platform on the one or more computing devices;

collecting network performance data from the wireless carrier network via one or more data adaptors;

analyzing at least a portion of the call data and at least a portion of the network performance data via the communication analytics engine executing on the one or more computing devices to generate analytic results that includes one or more key performance indicators (KPIs); and

providing the analytic results for the call data to a computing device for presentation.

16. The computer-implemented method of claim 15, further comprising:

analyzing the one or more KPIs at the communication analytics engine according to one or more detection rules to detect a call issue that affects one or more user devices using the wireless carrier network or one or more network infrastructure elements of the wireless carrier network;

generating one or more alerts regarding the call issue at the communication analytics engine according to at least one alert rule; and

providing the one or more one or more alerts regarding the call issue to a computing device for presentation.

17. The computer-implemented method of claim 16, further comprising receiving an update to the one or more detection rules or the one or more alert rules that are generated based on user feedback regarding effectiveness of the one or more detection rules or the one or more alert rules.

18. The computer-implemented method of claim 17, wherein the collecting includes collecting corresponding call data of a user device that is provided by a device application on the user device that obtains the corresponding call data via an IP Multimedia Subsystem (IMS) stack trace.

19. A system, comprising:

one or more processors; and

memory including a plurality of computer-executable components that are executable by the one or more processors to perform a plurality of actions, the plurality of actions comprising;

establishing a communication connection between a data collection platform executed by the one or more processors and a wireless carrier network;

collecting call data of multiple user devices at the data collection platform via the communication connection, the multiple user devices use the wireless carrier network to initiate and receive calls to one or more additional devices;

aggregating the call data into one or more datasets according to at least one grouping parameter;

analyzing the call data in a dataset via a communication analytics engine executed by the one or more processors to generate analytic results that includes one or more key performance indicators (KPIs);

analyzing the KPIs at the communication analytics engine according to one or more detection rules to detect a call issue that affects one or more user devices using the wireless carrier network or one or more network infrastructure elements of the wireless carrier network; and

generating one or more alerts regarding the call issue at the communication analytics engine according to at least one alert rule.

20. The system of claim 19, wherein the plurality of actions further comprise at least one of providing the analytic results for the call data to a computing device for presentation or providing the one or more one or more alerts regarding the call issue to a computing device for presentation.

21. The system of claim 19, wherein the plurality of actions further comprise receiving an update to the one or more detection rules or the one or more alert rules that are generated based on user feedback regarding effectiveness of the one or more detection rules or the one or more alert rules.