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

Nobuo Funabiki, Seishi Nishikawa

研究成果査読

16 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)1187-1196
ページ数10
ジャーナルIEICE Transactions on Communications
E78-B
8
出版ステータスPublished - 8月 1 1995
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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