An Improved Neural Network for Channel Assignment Problems in Cellular Mobile Communication Systems

• FUNABIKI Nobuo

  Faculty of Engineering Science, Osaka University

• NISHIKAWA Seishi

  Faculty of Engineering Science, Osaka University

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.

収録刊行物

• IEICE transactions on communications

  IEICE transactions on communications 78 (8), 1187-1196, 1995-08-25

  一般社団法人電子情報通信学会

キーワード

• cellular mobile communication system
• channel assignment
• neural network
• parallel algorithm

詳細情報

• CRID: 1573950402232404864
• NII論文ID: 110003217430
• NII書誌ID: AA10826261
• ISSN: 09168516
• 本文言語コード: en
• データソース種別:
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