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

Nobuo FUNABIKI  Seishi NISHIKAWA  

Publication
IEICE TRANSACTIONS on Communications   Vol.E78-B   No.8   pp.1187-1196
Publication Date: 1995/08/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Technologies for High-Speed Mobile Communications)
Category: 
Keyword: 
cellular mobile communication system,  channel assignment,  neural network,  parallel algorithm,  

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Summary: 
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.