A neural network model to configure maps for a satellite communication network

Document Type

Conference Proceeding

Publication Date

12-1-1990

Abstract

A self-configurable satellite communication network that can be dynamically configured to different maps to best meet the network requirements by means of a modified Kohonen self-organization procedure is described. The model consists of three stages. The first stage is the pattern recognition task, in which an exemplar map that best meets the current network requirements is selected. The second stage is an analysis of the discrepancy between the chosen exemplar map and the state of the network and the adaptive modification of the chosen exemplar map to conform closely to the network requirement (input data pattern) by Kohonen's self-organization procedure. On the basis of certain performance criteria, whether a new map is generated to replace the original chosen map is decided in the third stage. Experimental results are presented to demonstrate that the self-organization model can dynamically configure maps for a satellite communication network.

Identifier

0025540091 (Scopus)

ISBN

[0879426322]

Publication Title

IEEE Global Telecommunications Conference and Exhibition

First Page

1042

Last Page

1046

Volume

2

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