A Flexible Hybrid Channel Assignment Strategy Using an Artificial Neural Network in a Cellular Mobile Communication system
Summary :
A novel algorithm, as an advanced Hybrid Channel Assignment strategy, for channel assignment problem in a cellular system is proposed. A difference from the conventional Hybrid Channel Assignment method is that flexible fixed channel allocations which are variable through the channel assignment can be performed in order to cope with varying traffic. This strategy utilizes the Channel Rearrangement technique using the artificial neural network algorithm in order to enhance channel occupancy on the fixed channels. The strategy is applied to two simulation models which are the spatial homogeneous and inhomogeneous systems in traffic. The simulation results show that the strategy can effectively improve blocking probability in comparison with pure dynamic channel assignment strategy only with the Channel Rearrangement.
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- IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.6 pp.693-700
- Publication Date
- 1995/06/25
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- Online ISSN
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- Special Section PAPER (Special Section of Papers Selected from 1994 Joint Technical Conference on Circuits/Systems, Computers and Communications (JTC-CSCC '94))
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Kazuhiko SHIMADA, Masakazu SENGOKU, Takeo ABE, "A Flexible Hybrid Channel Assignment Strategy Using an Artificial Neural Network in a Cellular Mobile Communication system" in IEICE TRANSACTIONS on Fundamentals,
vol. E78-A, no. 6, pp. 693-700, June 1995, doi: .
Abstract: A novel algorithm, as an advanced Hybrid Channel Assignment strategy, for channel assignment problem in a cellular system is proposed. A difference from the conventional Hybrid Channel Assignment method is that flexible fixed channel allocations which are variable through the channel assignment can be performed in order to cope with varying traffic. This strategy utilizes the Channel Rearrangement technique using the artificial neural network algorithm in order to enhance channel occupancy on the fixed channels. The strategy is applied to two simulation models which are the spatial homogeneous and inhomogeneous systems in traffic. The simulation results show that the strategy can effectively improve blocking probability in comparison with pure dynamic channel assignment strategy only with the Channel Rearrangement.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_6_693/_p
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@ARTICLE{e78-a_6_693,
author={Kazuhiko SHIMADA, Masakazu SENGOKU, Takeo ABE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Flexible Hybrid Channel Assignment Strategy Using an Artificial Neural Network in a Cellular Mobile Communication system},
year={1995},
volume={E78-A},
number={6},
pages={693-700},
abstract={A novel algorithm, as an advanced Hybrid Channel Assignment strategy, for channel assignment problem in a cellular system is proposed. A difference from the conventional Hybrid Channel Assignment method is that flexible fixed channel allocations which are variable through the channel assignment can be performed in order to cope with varying traffic. This strategy utilizes the Channel Rearrangement technique using the artificial neural network algorithm in order to enhance channel occupancy on the fixed channels. The strategy is applied to two simulation models which are the spatial homogeneous and inhomogeneous systems in traffic. The simulation results show that the strategy can effectively improve blocking probability in comparison with pure dynamic channel assignment strategy only with the Channel Rearrangement.},
keywords={},
doi={},
ISSN={},
month={June},}
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TY - JOUR
TI - A Flexible Hybrid Channel Assignment Strategy Using an Artificial Neural Network in a Cellular Mobile Communication system
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 693
EP - 700
AU - Kazuhiko SHIMADA
AU - Masakazu SENGOKU
AU - Takeo ABE
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 1995
AB - A novel algorithm, as an advanced Hybrid Channel Assignment strategy, for channel assignment problem in a cellular system is proposed. A difference from the conventional Hybrid Channel Assignment method is that flexible fixed channel allocations which are variable through the channel assignment can be performed in order to cope with varying traffic. This strategy utilizes the Channel Rearrangement technique using the artificial neural network algorithm in order to enhance channel occupancy on the fixed channels. The strategy is applied to two simulation models which are the spatial homogeneous and inhomogeneous systems in traffic. The simulation results show that the strategy can effectively improve blocking probability in comparison with pure dynamic channel assignment strategy only with the Channel Rearrangement.
ER -
English
