METHOD AND SYSTEM FOR ANALYSING A MOBILE OPERATOR DATA NETWORK

• US 20110238826A1
• Filed: 12/08/2009
• Published: 09/29/2011
• Est. Priority Date: 12/08/2008
• Status: Abandoned Application

• Current Assignee: Guavus, Inc. (Thales SA)
• Original Assignee: Neuralitic Systems, Inc. (Thales SA)
• Inventors: Melin, Eric, Goyet, Jean-Philippe, Carre, Nicolas
• Application Number:
  US13/133,113
• Publication Number:
  US 20110238826A1
• Time in Patent Office: Days
• US Class Current: 709/224
• 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: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

The present method and system relate for analyzing a mobile operator data network. The method and system dynamically collect and record information of mobile devices from Internet Protocol data sessions occurring on the mobile operator data network. The collected information is processed to detect and record at least one change in one of the mobile devices with a date of occurrence. The method and system then analyze the collected information and the recorded at least one change to generate metrics representative of evolution on the mobile operator data network.

Claims

1. A method for analyzing a mobile operator data network, the method comprising:

collecting in real time information about mobile devices from Internet Protocol data sessions occurring in the mobile operator data network;

recording the collected information in a database;

processing the collected information to detect at least one change in one of the mobile devices;

recording the at least one change for the corresponding mobile device and a date of occurrence; and

analyzing the collected information and the recorded at least one change to generate metrics.

2. The method of claim 1, wherein the processing, recording, and analyzing are performed by a centralized analytic system, and the collecting is performed by at least one filtering system located in the mobile operator data network.

3. The method of claim 1, wherein the metrics are representative of the evolution of mobile devices portfolio in accordance with one of the following:

manufacturer, model, type of mobile service, or a characteristic of the mobile devices.

4. The method of claim 1, wherein the information about mobile devices collected in real time includes at least one of the following:

a unique identifier of the mobile device, a unique identifier of the model of the mobile device, a timestamp, a type of mobile service, a volume of data transmitted.

5. The method of claim 3, wherein the metrics measure at least one of the following:

a portfolio share of the mobile devices for various models of mobile devices or for all models of mobile devices of a manufacturer.

6. The method of claim 3, wherein the metrics are used to generate reports comparing portfolio share at a given moment or to compare an evolution of the portfolio share on a given period of time.

7. The method of claim 6, wherein the metrics further generate reports of the portfolio share in function of a characteristic of the mobile devices, comprising:

form factor, operating system, mobile web browser, uplink and downlink data rates, and screen size.

8. The method of claim 1, further comprising differentiating mobile devices corresponding to subscribers of the mobile operator data network from mobile devices corresponding to roaming mobile devices

9. The method of claim 8, wherein the analyzing of the collected information further considers the mobile devices corresponding to subscribers of the mobile operator data network and the mobile devices corresponding to roaming mobile devices so as to generate metrics representative of subscribers only, of roamers only, or for both subscribers and roamers.

11. The method of claim 1, wherein the metrics are used to generate reports identify among a portfolio of models of mobile devices top performers in terms of gain of market share or least performers in terms of loss of market share over a specific period of time.

10. (canceled)

12. (canceled)

13. (canceled)

14. An analytic system for analyzing a mobile operator data network, the system comprising:

an pre-processing unit for receiving information about mobile devices collected in real time from Internet Protocol data sessions occurring in the mobile operator data network, the pre-processing unit detecting at least one change in one of the mobile devices and recording the at least one change for the corresponding mobile device and a date of occurrence;

a database for recording the collected information, the at least one change for the corresponding mobile device and the date of occurrence; and

an analytic engine for analyzing the collected information and the recorded at least one change to generate metrics.

15. The system of claim 14, wherein the metrics are representative of the evolution of mobile devices portfolio in accordance with one of the following:

manufacturer, model, type of mobile service, or a characteristic of the mobile devices.

16. The system of claim 14, wherein the information about mobile devices collected in real time includes at least one of the following:

a unique identifier of the mobile device, a unique identifier of the model of the mobile device, a timestamp, a type of mobile service, and a volume of data transmitted.

17. The system of claim 16, wherein the metrics measure at least one of the following:

a portfolio share of the mobile devices for various models of mobile devices or for all models of mobile devices of a manufacturer.

18. The system of claim 16, wherein the system further comprises a report presentation unit for generating reports from the metrics comparing portfolio share at a given moment or to compare an evolution of the portfolio share on a given period of time.

19. The system of claim 18, wherein the report presentation unit further generates reports of the portfolio share in function of a characteristic of the mobile devices, comprising:

form factor, operating system, mobile web browser, uplink and downlink data rates, and screen size.

20. The system of claim 14, wherein the pre-processing unit further differentiates mobile devices corresponding to subscribers of the mobile operator data network from mobile devices corresponding to roaming mobile devices

21. The system of claim 20, wherein the analytic engine further considers the mobile devices corresponding to subscribers of the mobile operator data network and the mobile devices corresponding to roaming mobile devices so as to generate metrics representative of subscribers only, of roamers only, or for both subscribers and roamers.

22. The system of claim 14, wherein the system further comprises a report presentation unit for generating reports from the metrics.

23. The system of claim 22, wherein the reports identify among a portfolio of models of mobile devices top performers in terms of gain of market share or least performers in terms of loss of market share over a specific period of time.

24. (canceled)

25. (canceled)

26. (canceled)