System and method for optimizing performance of a communication network

• US 9,332,458 B2
• Filed: 03/20/2013
• Issued: 05/03/2016
• Est. Priority Date: 03/25/2012
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Nuss, Ziv, Wellingstein, Rani, Bien, Jonatan, Susan, Ido
• Primary Examiner(s): Dsouza, Adolf
• Application Number:
  US14/386,773
• Publication Number:
  US 20150087325A1
• Time in Patent Office: 1,140 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 16/22 Traffic simulation tools or models
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition
• CPC Class Codes: H04W 28/0247 based on conditions of the access network or the infrastructure network central resource management H04W28/16
• CPC Class Codes: H04W 28/0861 between base stations
• CPC Class Codes: H04W 36/22 for handling the traffic
• CPC Class Codes: H04W 72/52 based on load

Abstract

A communication apparatus and method are provided for predicting effects of changes in at least one radio network parameter on a cellular network which comprises a processor which is adapted to: (a) select a source cell in a cellular network; (b) select from among a first plurality of cells being neighbors of that source cell, a second plurality of neighboring cells and define a reference cluster that includes the source cell and the second plurality of cells; and (c) use the reference cluster to predict the effects of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of the reference cluster, and based on that prediction, establishing an expected impact of the one or more changes in the at least one radio network parameter on a cellular network performance.

Claims

1. A communication apparatus for predicting effects of changes in at least one radio network parameter on a cellular network which comprises one or more processors adapted to:

(a) select a first cell in a cellular network;

(b) select from among a first plurality of cells being neighbors of said first cell, a second plurality of neighboring cells thereby defining a reference cluster that includes said first cell and said second plurality of cells, wherein cells are selected from among the first plurality of cells to belong to the second plurality of cells if at least one of;

(i) a number of handovers carried out from said first cell to each of the selected second plurality of cells within a pre-defined period of time, divided by a total number of handovers carried out from said first cell to all of its neighboring cells belonging to the first plurality of cells within that pre-defined period of time exceeds a pre-defined threshold; and

(ii) a geographical distance extending between said first cell and each of the selected second plurality of cells is equal to or less than a predetermined value; and

(c) using said reference cluster to predict an effect of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of said reference cluster, and based on said prediction, establishing an expected impact of the one or more changes in the at least one radio network parameter on a cellular network performance.

2. The communication apparatus of claim 1, wherein said at least one radio network parameter being changed is offloading of communication traffic from said first cell to at least one cell from among said second plurality of cells.

3. The communication apparatus of claim 1, wherein said at least one radio network parameter is a member of a group that consists of:

antenna tilt, pilot power usage and/or handover hysteresis offset between said first cell and said second plurality of cells.

4. The communication apparatus of claim 1, wherein said first cell is characterized by having radio resource utilization that exceeds a predetermined threshold.

5. The communication apparatus of claim 1, wherein the one or more processors are adapted to repeat (c) until the expected impact on the cellular network performance, of the one or more changes in the at least one radio network parameter, is maximized.

6. The communication apparatus of claim 5, wherein said at least one radio network parameter change leading to maximization of the expected impact on said cellular network performance is applied for optimizing cellular network performance associated with a second cluster.

7. The communication apparatus of claim 1, for use in a process of balancing a load of the cellular network, wherein the one or more processors are further adapted to:

(I) use said reference cluster to determine an effect of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of said reference cluster, and based on said determination, derive traffic load optimization rules for said cellular network; and

(II) obtain at least one network performance indicator which is associated with the cellular network and optimize load performance of said cellular network according to said at least one network performance indicator and said load optimization rules.

8. A method for predicting effects of changes in at least one radio network parameter on a cellular network, wherein said method comprises the steps of:

(a) selecting a first cell in a cellular network;

(b) selecting from among a first plurality of cells being neighbors of said first cell, a second plurality of neighboring cells and defining a reference cluster that includes said first cell and said second plurality of cells, wherein cells are selected from among the first plurality of cells to belong to the second plurality of cells if at least one of;

(i) a number of handovers carried out from said first cell to each of the selected second plurality of cells within a pre-defined period of time, divided by a total number of handovers carried out from said first cell to all of its neighboring cells belonging to the first plurality of cells within that pre-defined period of time exceeds a pre-defined threshold; and

(ii) a geographical distance extending between said first cell and each of the selected second plurality of cells is equal to or less than a predetermined value; and

(c) using said reference cluster to predict an effect of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of said reference cluster, and based on said determination, establishing an expected impact of the one or more changes in the at least one radio network parameter on a cellular network performance.

9. The method of claim 8 for use in a process of balancing traffic loads in said cellular network, wherein the method further comprising the steps of:

(I) using said reference cluster to determine an effect of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of said reference cluster, and based on said determination, derive traffic load optimization rules for said cellular network; and

(II) obtaining at least one network performance indicator which is associated with the cellular network and optimize load performance of said cellular network according to said at least one network performance indicator and said load optimization rules.

10. The method of claim 9, for use in managing data radio resources of a cellular network, wherein said method further comprises:

(a) retrieving information that relates to;

(i) radio resource load conditions of a cell; and

(ii) radio conditions for each user of that cell;

(b) identifying data-overloaded cells and correlating their associated information with that retrieved in (a); and

(c) ranking users of these cells according to their impact on radio load of the cell.

11. The method of claim 10, further comprising:

(d) limiting data provisioning to specific users of said cell based on (c) and on subscriber information associated with said specific users.

12. The method of claim 8, wherein said at least one radio network parameter being changed is offloading of communication traffic from said first cell to at least one cell from among said second plurality of cells.

13. The method of claim 8, wherein said at least one radio network parameter is a member of a group that consists of:

antenna tilt, pilot power usage and/or handover hysteresis offset between said first cell and said second plurality of cells.

14. The method of claim 8, further comprising:

repeating (c) until the expected impact on the cellular network performance, of the one or more changes in the at least one radio network parameter, is maximized.

15. The method of claim 14, wherein said at least one radio network parameter change leading to maximization of the expected impact on said cellular network performance is applied for optimizing cellular network performance associated with a second cluster.

16. At least one non-transitory computer-readable medium encoded with instructions that, when executed by a processor, perform:

(a) selecting a first cell in a cellular network;

(b) selecting from among a first plurality of cells being neighbors of said first cell, a second plurality of neighboring cells and defining a reference cluster that includes said first cell and said second plurality of cells, wherein cells are selected from among the first plurality of cells to belong to the second plurality of cells if at least one of;

(i) a number of handovers carried out from said first cell to each of the selected second plurality of cells within a pre-defined period of time, divided by a total number of handovers carried out from said first cell to all of its neighboring cells belonging to the first plurality of cells within that pre-defined period of time exceeds a pre-defined threshold; and

(ii) a geographical distance extending between said first cell and each of the selected second plurality of cells is equal to or less than a predetermined value; and

(c) using said reference cluster to predict an effect of carrying out one or more changes in at least one radio network parameter on at least one network performance indicator of said reference cluster, and based on said determination, establishing an expected impact of the one or more changes in the at least one radio network parameter on a cellular network performance.

17. The non-transitory computer-readable medium of claim 16, wherein said at least one radio network parameter being changed is offloading of communication traffic from said first cell to at least one cell from among said second plurality of cells.

18. The non-transitory computer-readable medium of claim 16, wherein said at least one radio network parameter is a member of a group that consists of:

antenna tilt, pilot power usage and/or handover hysteresis offset between said first cell and said second plurality of cells.

19. The non-transitory computer-readable medium of claim 16, further comprising instructions that, when executed by the processor, perform:

repeating (c) until the expected impact on the cellular network performance, of the one or more changes in the at least one radio network parameter, is maximized.

20. The non-transitory computer-readable medium of claim 19, wherein said at least one radio network parameter change leading to maximization of the expected impact on said cellular network performance is applied for optimizing cellular network performance associated with a second cluster.