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

Nirwan Ansari, Yizhong Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationGLOBECOM '90
PublisherPubl by IEEE
Pages1042-1046
Number of pages5
ISBN (Print)0879426322
StatePublished - Dec 1 1990
EventIEEE Global Telecommunications Conference & Exhibition Part 3 (of 3) - San Diego, CA, USA
Duration: Dec 2 1990Dec 5 1990

Publication series

NameIEEE Global Telecommunications Conference and Exhibition
Volume2

Other

OtherIEEE Global Telecommunications Conference & Exhibition Part 3 (of 3)
CitySan Diego, CA, USA
Period12/2/9012/5/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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