IEICE TRANSACTIONS on Fundamentals
An Approach to Dynamic Channel Assignment in a Cellular Mobile Communication System Using a Neural Network
Summary :
In cellular mobile systems, an alternative approach for a Dynamic Channel Assignment problem is presented. It adaptively assigns the channels considering the cochannel interference level. The Dynamic Channel Assignment problem is modeled on the different cellular system from the conventional one. In this paper, we formulate the rearrangement problem in the Dynamic Channel Assignment and propose a novel strategy for the problem. The proposed algorithm is based on an artificial neural network as a specific dynamical system, and is successfully applied to the cellular system models. The computer simulation results show that the algorithm utilized for the rearrangement is an effective strategy to improve the traffic characteristics.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E77-A No.6 pp.985-992
- Publication Date
- 1994/06/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section of Papers Selected from 1993 Joint Technical Conference on Circuits/Systems, Computers and Communications (JTC-CSCC'93))
- Category
- Communications
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Kazuhiko SHIMADA, Keisuke NAKANO, Masakazu SENGOKU, Takeo ABE, "An Approach to Dynamic Channel Assignment in a Cellular Mobile Communication System Using a Neural Network" in IEICE TRANSACTIONS on Fundamentals,
vol. E77-A, no. 6, pp. 985-992, June 1994, doi: .
Abstract: In cellular mobile systems, an alternative approach for a Dynamic Channel Assignment problem is presented. It adaptively assigns the channels considering the cochannel interference level. The Dynamic Channel Assignment problem is modeled on the different cellular system from the conventional one. In this paper, we formulate the rearrangement problem in the Dynamic Channel Assignment and propose a novel strategy for the problem. The proposed algorithm is based on an artificial neural network as a specific dynamical system, and is successfully applied to the cellular system models. The computer simulation results show that the algorithm utilized for the rearrangement is an effective strategy to improve the traffic characteristics.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e77-a_6_985/_p
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@ARTICLE{e77-a_6_985,
author={Kazuhiko SHIMADA, Keisuke NAKANO, Masakazu SENGOKU, Takeo ABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Approach to Dynamic Channel Assignment in a Cellular Mobile Communication System Using a Neural Network},
year={1994},
volume={E77-A},
number={6},
pages={985-992},
abstract={In cellular mobile systems, an alternative approach for a Dynamic Channel Assignment problem is presented. It adaptively assigns the channels considering the cochannel interference level. The Dynamic Channel Assignment problem is modeled on the different cellular system from the conventional one. In this paper, we formulate the rearrangement problem in the Dynamic Channel Assignment and propose a novel strategy for the problem. The proposed algorithm is based on an artificial neural network as a specific dynamical system, and is successfully applied to the cellular system models. The computer simulation results show that the algorithm utilized for the rearrangement is an effective strategy to improve the traffic characteristics.},
keywords={},
doi={},
ISSN={},
month={June},}
Copy
TY - JOUR
TI - An Approach to Dynamic Channel Assignment in a Cellular Mobile Communication System Using a Neural Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 985
EP - 992
AU - Kazuhiko SHIMADA
AU - Keisuke NAKANO
AU - Masakazu SENGOKU
AU - Takeo ABE
PY - 1994
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E77-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1994
AB - In cellular mobile systems, an alternative approach for a Dynamic Channel Assignment problem is presented. It adaptively assigns the channels considering the cochannel interference level. The Dynamic Channel Assignment problem is modeled on the different cellular system from the conventional one. In this paper, we formulate the rearrangement problem in the Dynamic Channel Assignment and propose a novel strategy for the problem. The proposed algorithm is based on an artificial neural network as a specific dynamical system, and is successfully applied to the cellular system models. The computer simulation results show that the algorithm utilized for the rearrangement is an effective strategy to improve the traffic characteristics.
ER -
English
