Automated radio network trend detection

• US 6,487,404 B1
• Filed: 12/30/1999
• Issued: 11/26/2002
• Est. Priority Date: 12/30/1999
• Status: Expired due to Term

• Current Assignee: Optis Wireless Technology, LLC (Brevet Capital)
• Original Assignee: Ericsson, Inc. (Telefonaktiebolaget LM Ericsson)
• Inventors: Feltner, Charles M., Larson, Amie, Amirijoo, Shahrokh, Kransmo, Jan
• Primary Examiner(s): Trost, William
• Assistant Examiner(s): Ferguson, Keith
• Application Number:
  US09/475,506
• Time in Patent Office: 1,062 Days
• Field of Search: 455/436, 455/423, 455/433, 455/422, 455/403, 455/412, 455/67.1, 455/432, 455/445, 455/507, 455/524, 455/550, 455/552, 455/554, 455/555, 455/560, 455/424, 455/425, 455/446, 379/1.01, 379/14, 379/9.04, 379/15.01, 707/200, 707/203, 707/2, 707/3, 707/4, 707/6, 709/223
• US Class Current: 455/423
• 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 system and method of detecting radio network trends in a telecommunications network. A data mining tool (52) is provided and adapted to search through the various operations and maintenance database systems belonging to one or more communications network(s) (60). The data mining tool searches through the databases to find correlations and dependencies among the parameters of the data collected and stored in the database systems. The correlations and dependencies found are then reported for further analysis which can, in turn, be used in optimization, maintenance and trouble shooting of the network.

Claims

1. A method of detecting radio network trends in a telecommunications network, comprising the steps of:

setting parameters for a data search utilizing a data mining tool;

determining which databases in said network to search for said data;

configuring said data mining tool for recognizing data patterns across all databases searched;

utilizing said data mining tool to determine previously unknown data relationships in said databases;

improving future searches by said data mining tool learning from each search iteration; and

determining and reporting said network trends by utilizing said correlations, said data dependencies and said data relationships.

2. The method according to claim 1 wherein said step of setting parameters for a data search utilizing a data mining tool further comprising the step of specifying the scope of the search to be accomplished by the data mining tool via parameters of the databases to be searched.

3. The method according to claim 1 wherein configuring said data mining tool to recognize data patterns in said databases further comprises the step of parsing through standard formatted databases.

4. The method according to claim 3 further comprising the steps of retrieving and maintaining data arranged in a System Query Language (SQL) type structure.

5. The method according to claim 1 wherein said searching step further includes the step of recognizing patterns across all databases searched.

6. The method according to claim 5 further comprising the step of correlating said recognized patterns within a database and across all databases in order to generate an output.

7. The method according to claim 1 further comprising the step of parsing through a telecommunications provider'"'"'s proprietary databases.

8. A system for detecting radio network trends in a telecommunications network, comprising:

a data mining tool for searching databases wherein said data mining tool further is configured for determining previously unknown data relationships in said databases and improving future searches by learning from each search iteration;

at least one database associated with said telecommunications network that collects, stores and maintains associated network performance data;

said data mining tool is further configured for recognizing patterns across all databases searched; and

a program product for directing said data mining tool to determine and report said network trends utilizing said correlations and said data dependencies.

9. The system according to claim 8 wherein said database systems are coupled with a Switching System (SS) and Base Station System (BSS) of the telecommunications network.

10. The system according to claim 8 wherein said data mining tool is further adapted to correlate said data relationships within a database and across all databases to generate an output.

11. The system according to claim 8 wherein said data mining tool is further configured to parse through operations and maintenance database systems in order to find correlations and dependencies among said associated network performance data.

12. The system according to claim 8 wherein said data mining tool comprises a configuration to retrieve and maintain data arranged in a System Query Language (SQL) type structure.

13. A program product within a computer usable medium for detecting radio network trends in a telecommunications network comprising:

instructions within said computer usable medium for setting parameters for a data search utilizing a data mining tool;

instructions within said computer usable medium for determining which databases in said network to search for said data;

instructions within said computer usable medium for configuring said data mining tool to recognize data patterns across all databases searched;

instructions within said computer usable medium for utilizing said data mining tool to determine previously unknown data relationships in said data;

instructions within said computer usable medium for improving future searches by said data mining tool learning from each search iteration; and

instructions within said computer usable medium for determining and reporting said network trends utilizing said correlations, said data dependencies and said data relationships.

14. The program product according to claim 13 wherein said instructions for setting parameters for a data search utilizing a data mining tool further comprises instructions for specifying the scope of the search to be accomplished by the data mining tool utilizing parameters of the databases to be searched.

15. The program product according to claim 13 wherein said instructions further comprise instructions for parsing standard formatted databases.

16. The program product according to claim 15 further comprises instructions for retrieving and maintaining data arranged in a System Query Language (SQL) type structure.

17. The program product according to claim 13 further comprises instructions for correlating said data patterns within a database and across all databases in order to generate an output.

18. The program product according to claim 13 further comprises instructions for translating data retrieved from vendor specific databases into a generic form for analysis.