Method and system for optimising the performance of a network

• US 20040266442A1
• Filed: 04/23/2004
• Published: 12/30/2004
• Est. Priority Date: 10/25/2001
• Status: Abandoned Application

• Current Assignee: Nokia Solutions and Networks US LLC (Nokia Corporation)
• Original Assignee: Nokia Solutions and Networks US LLC (Nokia Corporation)
• Inventors: Novosad, Tomas, Flanagan, Adrian, Hoglund, Albert, Laiho, Jaana
• Application Number:
  US10/493,633
• Publication Number:
  US 20040266442A1
• Time in Patent Office: Days
• US Class Current: 455/445
• CPC Class Codes: H04L 41/5025 by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade
• CPC Class Codes: H04W 16/18 Network planning tools
• CPC Class Codes: H04W 24/02 Arrangements for optimising operational condition

Abstract

When optimising the performance of the network, first of all, the relevant key performance indicators for a specific entity within the network as well as first parameters, which influence the key performance indicators, are determined. A number of entities similar to said specific entity is selected, wherein relevant key performance indicators are associated to every entity. The key performance indicators as well as the selected number of entities are used as elements in a first cost function, i.e. said first cost function is calculated on the basis of the KPI and the number of entities. Said first cost function is calculated in order to evaluate the network performance. Accordingly, since said first parameters directly relate to the key performance indicators, the network performance will depend on the values of said first parameters.

Thereafter the values of said first parameters are adjusted, so that a second set of values of said first parameters are obtained. The key performance indicators are determined again but this time on the basis of the second values of said first parameters and said first cost function is recalculated on the basis of these key performance indicators. The result of said first cost function calculated on the basis of said first values of said first parameters is compared to the result of said first cost function recalculated on the basis of said second values of said first parameters. This comparison is carried out to determine whether the network performance has improved. When the network performance has improved due to the adjusting of said first parameters, said second values of said first parameters are adopted as permanent parameters.

Claims

1. A method for optimising the performance of a network, in particular a radio network performance, comprising the steps of:

determining relevant key performance indicators for an entity within the network and first parameters, upon which said key performance indicators depend on,

selecting a number of similar entities,

calculating a first cost function on the basis of the determined key performance indicators and the selected number of entities, in order to evaluate the network performance on the basis of first values of said first parameters, wherein said first values of said first parameters represent the current values of said first parameters,

adjusting the values of said first parameters resulting in second values of said first parameters,

re-calculating said first cost function on the basis of the key performance indicators as determined according to said second values of said first parameters to evaluate the network performance,

comparing the result of said first cost function according to said first values of said first parameters with the result of said first cost function according to said second values of said first parameters to determine whether the network performance has improved,

adopt said second values of said first parameters as permanent parameters if the network performance on the basis of said second values of said first parameters has improved.

2. A method according to claim 1,

wherein the respective determined key performance indicators are weighted with different weight coefficients within said first cost function.

3. A method according to claim 1,

wherein reference values for the key performance indicators are set, and the difference between the current key performance indicators and the respective reference values thereof are determined and are used as elements in said first cost function.

4. A method according to claim 1,

wherein said first cost function is composed of a second cost function representing the quality requirements within the network and a third cost function representing the capacity requirements within the network, wherein said second cost function is weighted with a second weight coefficient and said third cost function is weighted with a third weight coefficient.

5. A method according to claim 4,

wherein said third weight coefficient equals to said second weight coefficient subtracted from one.

6. A method according to any claim 1,

wherein said second and third cost functions comprise the determined key performance indicators for each selected entity as elements.

7. A method according any to claim 1,

wherein said entity within the network is represented by a cell or a user group within said network.

8. A method according to claim 1,

wherein the steps for optimising the network performance are iterated.

9. A method according to claim 1, comprising the step of:

storing the values of the key performance indicators together with the respective first parameters and the corresponding result of the first cost function in order to create a history database.

10. A method according to claim 1, wherein the comparing step includes the steps of:

comparing the results of said first cost function with stored previous results of the first cost function in said history database in order to determine whether the network performance has improved within the predetermined time interval, and

notifying if no improvements of the network performance has been made in said predetermined time interval.

11. A method according to claim 8, wherein

said step of adjusting the values of said first parameter is performed by increasing and decreasing said values alternately.

12. A method according to claim 11, wherein

said steps of increasing and decreasing said values of said first parameters are performed successively before performing said adopting step.

13. A method according to claim 1,

wherein quality of service indications for services and/or individual subscribers are derived from measurements and/or configurations of low management layers within the network.

15. A Computer program product comprising computer program code means for causing a computer to perform the steps of the method as claimed in claim 1 when said computer program is run on a computer.

14. A system for optimising the performance of a network, in particular a radio network performance, comprising:

a) means for determining a relevant key performance indicator for an entity within said network and a first parameter, upon which said key performance indicator depends on,

b) means for selecting at least one similar entity,

c) means for calculating a first cost function on the basis of said determined key performance indicator and said selected at least one entity, in order to evaluate the network performance on the basis of a first value of said first parameter, wherein said first value of said first parameter represents a current value of said first parameter,

d) means for adjusting said first value of said first parameter to obtain a second value of said first parameter,

e) means for re-calculating said first cost function on the basis of said relevant key performance indicator determined according to said second value of said first parameter to evaluate the network performance,

f) means for comparing the result of said first cost function according to said first value of said first parameter with the result of said first cost function according to said second value of said first parameter to determine whether the network performance has improved, and

g) means for adopting said second value of said first parameter as permanent parameters if the network performance on the basis of said second value of said first parameters has improved.