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 language | English |
|---|---|
| Pages (from-to) | 1187-1196 |
| Number of pages | 10 |
| Journal | IEICE Transactions on Communications |
| Volume | E78-B |
| Issue number | 8 |
| Publication status | Published - Aug 1 1995 |
| Externally published | Yes |
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Electrical and Electronic Engineering
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Cite this
Funabiki, N., & Nishikawa, S. (1995). Improved neural network for channel assignment problems in cellular mobile communication systems. IEICE Transactions on Communications, E78-B(8), 1187-1196.