Abstract
In environments with highly dynamic user demand, for example in airports, high over-dimensioning of wireless access networks is required to be able to serve high user densities at any possible location in the covered area, resulting in a large number of base stations. This problem is addressed with the novel concept of a self-deploying network. Distributed algorithms are proposed, which autonomously identify the need of changes in position and configuration of wireless access nodes and adapt the network to its environment. It is shown that a self-deploying network can significantly reduce the number of required base stations compared to a conventional statically deployed network. In this paper, this is demonstrated in a specific test scenario at Athens International Airport, simulating a moving user hotspot after the arrival of an airplane.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-540-32993-0_29
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Mullany, F.J., Ho, L.T.W., Samuel, L.G., Claussen, H.: Self-deployment, self-configuration: Critical future paradigms for wireless access networks. In: Smirnov, M. (ed.) WAC 2004. LNCS, vol. 3457, pp. 58–68. Springer, Heidelberg (2005)
Hurley, S.: Planning effective cellular mobile radio networks. IEEE Transactions on Vehicular Technology 51(2), 243–253 (2002)
Thiel, S.U., Giuliani, P., Ibbetson, L.J., Lister, D.: An automated UMTS site selection tool. In: Proc. 3G Mobile Communication Technologies, pp. 69–73 (2002)
Weicker, N., Szabo, G., Weicker, K., Widmayer, P.: Evolutionary multiobjective optimization for base station transmitter placement with frequency assignment. IEEE Transactions on Evolutionary Computation 7(2), 189–203 (2003)
Mathar, R., Niessen, T.: Optimum positioning of base stations for cellular radio networks. Wireless Networks 6(6), 421–428 (2000)
Chandra, R., Qiu, L., Jain, K., Mahdian, M.: Optimizing the Placement of Integration Points in Multi-hop Wireless Networks. In: Proc. IEEE ICNP (2004)
Tutschku, K.: Demand-based radio network planning of cellular mobile communication systems. In: Proc. 17th Annual INFOCOM, pp. 1054–1061 (1998)
Abusch-Magder, D., Graybeal, J.M.: Novel algorithms for efficient exploration of the trade-off between cell count and performance in wireless networks. BLTJ 10(2) (2005)
Bonabeau, E., Dorigo, M., Theraulaz, G.: Swarm intelligence – from natural to artificial systems. Oxford University Press, Oxford (1999)
Shannon, C.E.: A mathematical theory of communication. BSTJ 27, 379–423, 623–656 (1948)
Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical recipes in C++ - The art of scientific computing. Cambridge University Press, Cambridge (2002)
Claussen, H.: Efficient modelling of channel maps with correlated shadow fading in mobile radio systems. In: Proc. IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Claussen, H. (2006). Autonomous Self-deployment of Wireless Access Networks in an Airport Environment. In: Stavrakakis, I., Smirnov, M. (eds) Autonomic Communication. WAC 2005. Lecture Notes in Computer Science, vol 3854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11687818_7
Download citation
DOI: https://doi.org/10.1007/11687818_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-32992-3
Online ISBN: 978-3-540-32993-0
eBook Packages: Computer ScienceComputer Science (R0)