A Genetic Algorithm for Optimal Frequency Assignment in Mobile Communications
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- Tokoro Ken-ichi
- CRIEPI
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- Matsui Shouichi
- CRIEPI
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- Nishino Yoshihiro
- Kyushu Electric Power Company
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- Hashiguchi Hideo
- Kyushu Electric Power Company
Bibliographic Information
- Other Title
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- GAによる移動無線基地局への周波数割当ての最適化
- GA ニ ヨル イドウ ムセン キチキョク エ ノ シュウハスウ ワリアテ ノ サイテキカ
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Abstract
As demand grows for wireless communication systems, the problem of frequency assignment becomes in-creasingly important. This paper therefore investigates the frequency assignment problem (FAP) as it relates to the mobile communication systems of the Kyushu Electric Power Company. A number of algorithms for solving the FAP have been proposed. However the FAP investigated in this paper is more complex than the benchmark problems used in these studies. Thus we propose a hybrid algorithm of genetic and greedy algorithms to solve the problem. A global optimal assignment can be obtained in a very short time using the algorithm. Thus we are able to reduce the time required for finding the optimal assignment.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 121 (5), 940-946, 2001
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390282679587389952
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- NII Article ID
- 130006845590
- 10007553006
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 5768076
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed