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 1995 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - Improved neural network for channel assignment problems in cellular mobile communication systems
AU - Funabiki, Nobuo
AU - Nishikawa, Seishi
PY - 1995/8
Y1 - 1995/8
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0029356437&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029356437&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:0029356437
VL - E78-B
SP - 1187
EP - 1196
JO - IEICE Transactions on Communications
JF - IEICE Transactions on Communications
SN - 0916-8516
IS - 8
ER -