Improved neural network for channel assignment problems in cellular mobile communication systems

Nobuo Funabiki, Seishi Nishikawa

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper presents an improved neural network for channel assignment problems in cellular mobile communication systems in the new co-channel interference model. Sengoku et al. first proposed the neural network for the same problem, which can find solutions only in small size cellular systems with up to 40 cells in our simulations. For the practical use in the next generation's cellular systems, the performance of our improved neural network is verified by large size cellular systems with up to 500 cells. The newly defined energy function and the motion equation with two heuristics in our neural network achieve the goal of finding optimum or near-optimum solutions in a nearly constant time.

Original languageEnglish
Pages (from-to)1187-1196
Number of pages10
JournalIEICE Transactions on Communications
VolumeE78-B
Issue number8
Publication statusPublished - Aug 1995
Externally publishedYes

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Mobile telecommunication systems
Neural networks
Equations of motion

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Improved neural network for channel assignment problems in cellular mobile communication systems. / Funabiki, Nobuo; Nishikawa, Seishi.

In: IEICE Transactions on Communications, Vol. E78-B, No. 8, 08.1995, p. 1187-1196.

Research output: Contribution to journalArticle

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