Analytical approach for channel assignments in cellular networks

Vladimir V. Shakhov; Hyunseung Choo

doi:10.1007/3-540-44860-8_48

Analytical approach for channel assignments in cellular networks

Vladimir V. Shakhov, Hyunseung Choo

Department of Computer Science and Engineering

Russian Academy of Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In the present paper channel assignments in cellular architectures are considered. This is quite important in cell and channel planning since reusing channels in cells allows to manage resources and to serve users effectively in the system. The optimal solution is offered here for the case of co-channel interference. Previous solutions on co-channel interference are based on regular hexagonal models for service areas. A novel technique is employed in this work that does not depend upon any geometric form of cells. It is obtained that the optimal number of channels equals the density of a special graph. Earlier analytical results on span minimization show lower bounds meanwhile we provide the upper bound in this paper.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Peter M. A. Sloot, David Abramson, Alexander V. Bogdanov, Yuriy E. Gorbachev, Jack J. Dongarra, Albert Y. Zomaya
Publisher	Springer Verlag
Pages	466-473
Number of pages	8
ISBN (Print)	9783540448600
DOIs	https://doi.org/10.1007/3-540-44860-8_48
State	Published - 2003

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2657
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/3-540-44860-8_48

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Shakhov, V. V., & Choo, H. (2003). Analytical approach for channel assignments in cellular networks. In P. M. A. Sloot, D. Abramson, A. V. Bogdanov, Y. E. Gorbachev, J. J. Dongarra, & A. Y. Zomaya (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 466-473). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2657). Springer Verlag. https://doi.org/10.1007/3-540-44860-8_48

Shakhov, Vladimir V. ; Choo, Hyunseung. / Analytical approach for channel assignments in cellular networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Peter M. A. Sloot ; David Abramson ; Alexander V. Bogdanov ; Yuriy E. Gorbachev ; Jack J. Dongarra ; Albert Y. Zomaya. Springer Verlag, 2003. pp. 466-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In the present paper channel assignments in cellular architectures are considered. This is quite important in cell and channel planning since reusing channels in cells allows to manage resources and to serve users effectively in the system. The optimal solution is offered here for the case of co-channel interference. Previous solutions on co-channel interference are based on regular hexagonal models for service areas. A novel technique is employed in this work that does not depend upon any geometric form of cells. It is obtained that the optimal number of channels equals the density of a special graph. Earlier analytical results on span minimization show lower bounds meanwhile we provide the upper bound in this paper.",

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doi = "10.1007/3-540-44860-8\_48",

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Shakhov, VV & Choo, H 2003, Analytical approach for channel assignments in cellular networks. in PMA Sloot, D Abramson, AV Bogdanov, YE Gorbachev, JJ Dongarra & AY Zomaya (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2657, Springer Verlag, pp. 466-473. https://doi.org/10.1007/3-540-44860-8_48

Analytical approach for channel assignments in cellular networks. / Shakhov, Vladimir V.; Choo, Hyunseung.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Peter M. A. Sloot; David Abramson; Alexander V. Bogdanov; Yuriy E. Gorbachev; Jack J. Dongarra; Albert Y. Zomaya. Springer Verlag, 2003. p. 466-473 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2657).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AB - In the present paper channel assignments in cellular architectures are considered. This is quite important in cell and channel planning since reusing channels in cells allows to manage resources and to serve users effectively in the system. The optimal solution is offered here for the case of co-channel interference. Previous solutions on co-channel interference are based on regular hexagonal models for service areas. A novel technique is employed in this work that does not depend upon any geometric form of cells. It is obtained that the optimal number of channels equals the density of a special graph. Earlier analytical results on span minimization show lower bounds meanwhile we provide the upper bound in this paper.

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BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Sloot, Peter M. A.

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Shakhov VV, Choo H. Analytical approach for channel assignments in cellular networks. In Sloot PMA, Abramson D, Bogdanov AV, Gorbachev YE, Dongarra JJ, Zomaya AY, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2003. p. 466-473. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44860-8_48

Analytical approach for channel assignments in cellular networks

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