Method of detecting wireless network faults

• US 8,218,477 B2
• Filed: 03/31/2005
• Issued: 07/10/2012
• Est. Priority Date: 03/31/2005
• Status: Active Grant

• Current Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: Rao, Sudarshan A.
• Primary Examiner(s): PHUONG, DAI
• Application Number:
  US11/095,011
• Publication Number:
  US 20060221886A1
• Time in Patent Office: 2,658 Days
• Field of Search: 370/328, 370/338, 370/241, 370/230.1, 370/237, 370/217, 370/242, 370/245, 370/252, 370/238, 455/8, 455/453, 455/428, 455/421
• US Class Current: 370/328
• CPC Class Codes: H04W 24/08 Testing, supervising or monitoring using real traffic

Abstract

A wireless communication system includes the ability to determine that a fault condition associated with at least a portion of a cell associated with a base station is likely. Disclosed examples include using information regarding call activity levels of various portions of a cell for determining an expected call activity level for at least one portion of the cell. One example includes using the least active portion of the cell as the portion of interest. Previously observed activity levels provide information to automatically determine an expected relationship between the activity levels of the portions of the cell. Disclosed examples include determining whether a deviation between the actual call activity level and the expected call activity level is statistically significant enough to indicate a fault condition with at least the portion of the cell, which is of interest.

Claims

1. A method of communicating, comprising:

determining an expected relationship between call activity levels for a plurality of portions of a cell from observed activity levels during a selected learning time;

determining actual call activity levels for at least some of the plurality of portions of the cell;

determining an expected call activity level for a first portion of the cell based on the determined expected relationship and the determined actual call activity level of at least one other portion of the cell; and

determining whether a difference between the determined actual call activity level for the first portion of the cell and the determined expected call activity level for the first portion is significant enough to indicate a fault with at least the first portion of the cell.

2. The method of claim 1, wherein the first and second portions each comprise a sector of the cell.

3. The method of claim 1, comprising automatically determining the expected call activity level for each portion by learning a pattern of call activity level for each portion.

4. The method of claim 1, comprising occasionally selecting a new learning time and determining a new expected relationship between the call activity levels of the portions based on the determined call activity levels during the new learning time.

5. The method of claim 4, comprising selecting a new learning time for each segment of time corresponding to a possible change in a call traffic pattern for the cell.

6. The method of claim 5, comprising

selecting a plurality of segments of time corresponding to possible changes in the call traffic pattern;

and

determining a corresponding plurality of expected relationships.

7. The method of claim 6, comprising

determining in which of the selected segments of time the determined actual call activity levels are;

and

using the corresponding determined expected relationship for determining the expected call activity level of the first portion of the cell.

8. The method of claim 5, wherein the segments of time correspond to at least one of a portion of a day, a day of a week, a month or a season.

9. The method of claim 1, comprising

determining when the determined difference is statistically significant enough to indicate a fault condition for the first portion;

and

providing an indication of a fault condition for the first portion.

10. The method of claim 9, comprising setting a certainty factor for determining when the determined difference is statistically significant.

11. The method of claim 1, comprising determining which of the portions of the cell has the lowest call activity level and using that portion as the first portion.

12. The method of claim 1, comprising

determining that there is no call activity for the first portion of the cell;

determining that there is no call activity for any other portion of the cell; and

determining whether a time during which there is no call activity for any of the portions of the cell indicates a fault condition for the entire cell.

13. The method of claim 12, comprising determining whether the determined time exceeds a predetermined threshold and providing an indication of a fault for the entire cell if the determined time exceeds the threshold.

14. The method of claim 1, wherein the fault comprises at least one of a failure or an abnormal behavior associated with the first portion of the cell.

15. The method of claim 1, comprising

communicating an indication of a fault condition to another portion of a network associated with the cell.

16. A method of communicating, comprising;

determining actual call activity levels for a plurality of portions of a cell;

determining an expected call activity level for a first portion of the cell based on an expected, non-uniform distribution of call activity levels among the plurality of portions of the cell and the determined actual call activity level for at least a second portion of the cell; and

determining whether a difference between the determined actual call activity level for the first portion and the expected call activity level for the first portion is significant enough to indicate a fault of at least the first portion of the cell.

17. The method of claim 16, wherein the first and second portions of the cell comprise one of channels or sectors of the cell.

18. The method of claim 16, comprising determining the expected, non-uniform distribution of call activity levels based on a preset target distribution of call activity among the portions of the cell.

19. The method of claim 16, comprising determining the expected, non-uniform distribution of call activity levels by observing call activity levels of each portion during a selected learning time.

20. The method of claim 16, comprising

determining a plurality of the expected, non-uniform distributions for corresponding periods of time;

and

selecting one of the determined distributions for determining the expected call activity level of the first portion based upon a period of time in which the actual call activity levels are determined.

21. The method of claim 16, wherein the fault comprises at least one of a failure or an abnormal behavior associated with the first portion of the cell.

22. The method of claim 16, comprising

communicating an indication of a fault condition to another portion of a network associated with the cell.