Multi-stage neural networks for channel assignment in cellular radio networks
SCIE
SCOPUS
- Title
- Multi-stage neural networks for channel assignment in cellular radio networks
- Authors
- Lee, HS; Lee, DW; Lee, J
- Date Issued
- 2004-01
- Publisher
- SPRINGER-VERLAG BERLIN
- Abstract
- In this paper, we consider the channel assignment problem in cellular mobile communication systems, which assigns a channel to every requested call with the minimum span of channels subject to interference constraints. In this paper, a multi-stage heuristic algorithm using neural networks for the channel assignment problem is proposed. The proposed algorithm is devised to find first a good initial feasible assignment, then a locally optimal assignment, and finally a overall best quality assignment. The proposed algorithm has been applied to the Philadelphia benchmark instances. Experimental results show that the proposed method is competitive with the other existing algorithms.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/17744
- DOI
- 10.1007/978-3-540-28648-6_45
- ISSN
- 0302-9743
- Article Type
- Article
- Citation
- LECTURE NOTES IN COMPUTER SCIENCE, vol. 3174, page. 287 - 292, 2004-01
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.