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doi:10.1016/j.dam.2004.07.005    
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Copyright © 2004 Published by Elsevier B.V.

The complexity of base station positioning in cellular networksstar, open

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Christian Glaßera, 1, E-mail The Corresponding Author, Steffen Reithb, 1, E-mail The Corresponding Author, E-mail The Corresponding Author and Heribert Vollmerc, 1, E-mail The Corresponding Author

aTheoretische Informatik, Universität Würzburg, Am Hubland, D-97074 Würzburg, Germany

bLengfelderstrasse 35b, 97078 Würzburg, Germany

cTheoretische Informatik, Universität Hannover, Appelstr. 4, D-30167 Hannover, Germany


Received 13 July 2003; 
revised 27 June 2004; 
accepted 7 July 2004. 
Available online 16 February 2005.

Abstract

We consider two optimization problems for cellular telephone networks, that arise in a recently discussed ITU proposal for a traffic load model. These problems address the positioning of base stations (on given possible locations) with the aim to maximize the number of supplied demand nodes and minimize the number of stations that have to be built. We show that these problems are hard to approximate, but their Euclidean versions allow a polynomial-time approximation scheme (PTAS). Furthermore, we consider other related optimization problems.

Keywords: Complexity; Approximation algorithms; PTAS; Demand Node; Traffic load model

Article Outline

1. Introduction
1.1. Maximize number of totally supplied nodes (MAX-TSN) [10]
1.2. Minimize number of base stations (MIN-BS)
2. Non-approximability results
3. A polynomial-time approximation scheme for MAX-ETSN
4. Approximating MIN-EBS in polynomial time
5. Optimizing networks without interferences
5.1. A polynomial-time approximation scheme for base station localization
5.1.1. Minimize number of base station locations (MIN-EBSLNI)
5.2. A PTAS for MIN-EBSNI
5.2.1. Minimize number of base stations w/o interferences (MIN-EBSNI)
6. Conclusion
Acknowledgements
References

star, openA preliminary version of this paper appeared in the proceedings of the ICALP 2000 workshop “Approximation and Randomized Algorithms in Communication Networks (ARACNE)”, Proceedings in Informatics 8, Carleton Scientific, 2000.


1 Part of this work has been supported by NORTEL External Research.

 
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