Abstract
The optimal base station placement and effective radio resource management are of paramount importance tasks in cellular wireless networks. This paper deals with automatic planning of base station sites on a studied scenario, maintaining coverage requirement and enabling the transmission of traffic demands distributed over the area. A city scenario with different demands is examined and the advantages/disadvantages of this method are discussed. The planner and optimizing tasks are based on an iterative K-Means clustering method. The planning method involves base station positioning and selecting antenna main lobe direction. Results of the output network deployment of this algorithm are shown, with various traffic loads over the studied area.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Karam, O.H., Fattouh, L., Youssef, N., Abdelazim, A.E.: Employing Clustering Techniques in Planning Wireless Local Loop Communication Systems: PlanAir. In: 11th International Conference On Artificial Intelligence Applications Cairo, Egypt, February 23-26 (2005)
Mishra, A.R.: Advanced Cellular Network Planning and Optimization, pp. 15–197. John Wiley & Sons Ltd., Chichester (2007)
Calegarie, P., Guidec, F., Kuonen, P., Chamaret, B., Udeba, S., Josselin, S., Wagner, D.: Radio network planning with combinatorial algorithms. ACTS Mobile Commun., 707–713 (1996)
Basit, A.: Dimensioning of LTE Network, Description of Models and Tool, Coverage and Capacity Estimation of 3GPP Long Term Evolution radio interface (2009), http://lib.tkk.fi/Dipl/2009/urn100056.pdf
Barclay, L.: Propagation of Radiowaves, p. 194. The Institution of Electrical Engineers, London (2003)
MacQueen, J.B.: Some Methods for classification and Analysis of Multivariate Observations. In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability, vol. 1, pp. 281–297. University of California Press, Berkeley (1967)
Ramamurthy, H., Karandikar, A.: B-Hive: A cell planning tool for urban wireless networks. In: 9th National Conference on Communications (2003)
Tutschku, K.: Demand-based Radio Network Planning of Cellular Mobile Communication Systems. In: INFOCOM 1998, pp. 1054–1061 (1998)
McGeehan, J., Anderson, H.: Optimizing microcell base station locations using simulated annealing techniques. In: Proc. 44th IEEE Vehicular Technology Conf., pp. 858–862 (1994)
Molina, A., Athanasiadou, G., Nix, A.: The automatic location of base-stations for optimized cellular coverage: A new combinatorial approach. Presented at the IEEE Vehicular Technology Conference (1999)
Hurley, S.: Planning effective cellular mobile radio networks. IEEE Trans. Vehicular Technol. 51(2), 243–253
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Törős, I., Fazekas, P. (2011). Automatic Base Station Deployment Algorithm in Next Generation Cellular Networks. In: Szabó, R., Zhu, H., Imre, S., Chaparadza, R. (eds) Access Networks. AccessNets 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20931-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-20931-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20930-7
Online ISBN: 978-3-642-20931-4
eBook Packages: Computer ScienceComputer Science (R0)