Method for configuring a network by defining clusters
First Claim
1. A method for configuring a network, wherein the network comprises a plurality of network sections (C1 to C32), the method comprising the steps of accessing (S2) data from network sections;
- forming (S3) groups of network sections by using at least part of the accessed data as input data; and
adjusting (S4) parameters of all network sections in one grroup in common, characterized in that in the group forming step (S3), a neural clustering method is used, and the groups of network sections are clusters formed by the neural clustering method.
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Abstract
The invention proposes a method for configuring a network, wherein the network comprises a plurality of network sections, the method comprising the steps of accessing (S2) data from network sections; forming (S3) groups of network sections using a clustering method by using at least part of the accessed data as input data; and processing (S4) parameter on network section group level. By this method, the operation load during optimising a network consisting of a large number of cells can be greatly reduced. The invention also proposes a corresponding network optimising system.
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Citations
34 Claims
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1. A method for configuring a network, wherein the network comprises a plurality of network sections (C1 to C32), the method comprising the steps of accessing (S2) data from network sections;
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forming (S3) groups of network sections by using at least part of the accessed data as input data; and
adjusting (S4) parameters of all network sections in one grroup in common, characterized in that in the group forming step (S3), a neural clustering method is used, and the groups of network sections are clusters formed by the neural clustering method. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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- 17. A network configuration system which is adapted to configure a network comprising a plurality of network sections (C1 to C32), comprising a configuration device (2) which is adapted to have access to data in the using at least part of the accessed data as input data and to adjust parameters of all network sections in one group in common characterized in that the configuration device (2) is adapted to form the groups of network sections according to a neural clustering method.
Specification