Extending Kohonen´s self-organizing mapping for adaptive resource management in cellular radio networks

Author

Duque-Antón, Manuel ; Rüber, Bernhard ; Killat, Ullrich

Author_Institution

Philips Res. Lab., Aachen, Germany

Volume

46

Issue

3

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

560

Lastpage

568

Abstract

To satisfy the growing demand for mobile communication, microcellular systems are expected to be introduced in the near future. For these, the development of fast, reliable, and spectrum-efficient radio-resource management procedures is mandatory. Topology-conserving mappings play an important part in the biological processing of sensory input. We suggest that principles found capable of establishing such maps could also be applied to organize the learning of radio-resource assignments

Keywords

adaptive systems; cellular radio; learning (artificial intelligence); radio networks; self-organising feature maps; telecommunication computing; telecommunication network management; Kohonen´s self-organizing mapping; adaptive resource management; biological processing; cellular radio networks; learning; microcellular systems; mobile communication; radio resource assignments; sensory input; spectrum efficient radio resource management; topology conserving mapping; Adaptive systems; GSM; Intelligent networks; Interference; Land mobile radio cellular systems; Macrocell networks; Mobile communication; Radio spectrum management; Resource management; Telecommunication network reliability;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/25.618180

Filename

618180