Abstract
Broadband Power Line Communications (B-PLC) technology is an alternative for broadband access networks, allowing bit rates up to currently 200Mbps. This technique uses the wiring of the low-voltage grid in order to offer to the users the telecommunications services, such as Internet, VoIP, VoD, etc. The B-PLC design process is sub-divided into two parts: the Generalized Base Station Placement (GBSP) problem and the PLC Channel Allocation Problem (P-CAP). This paper focuses on GBSP that is modeled as multi-criteria combinatorial optimization problem. Based on our published mathematical modeling, this paper supplies more numerical experiments for the evaluation of Multi-Objective Evolutionary Algorithms (MOEAs) in solving GBSP. Their performance is compared with the single-objective optimization.
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References
Design of System on Silicon (DS2): DSS900X: Power Line Communication Chipsets for Broadband Access Applications. DSS9002 Products Datasheet, http://www.ds2.es
Open PLC European Research Alliance (OPERA) Project: Initial paper on the Project and Plans. Deliverable D84 (January 2004), http://www.ist-opera.org/
HOMEPLUG Powerline Alliance, http://www.homeplug.org/
Haidine, A., Mellado, I., Lehnert, R.: PANDeMOO: Powerline communications Access Network Designer based on Multi-Objective Optimisation. In: 9th International Symposium on Power-Line Communications and its Applications, Vancouver (2005)
Haidine, A.: Solving the Generalized Base Station Placement Problem in the Planning of Broadband Power Line Communications Access Networks. In: Proceeding of IEEE Inter. Sym. on Powerline Communications and Its Applications, South Korea, April 2-5 (2008)
Haidine, A., Hrasnica, H., Lehnert, R.: Analysis and Modelling of Low-Voltage Networks for Planning of Powerline Communications Access Networks. In: Proceeding of 8th International Symposium on Power-Line Communications and its Applications, Zaragossa (2004)
Kampstra, P.: Evolutionary Computing in Telecommunications: A likely EC Success Story. Master Thesis at the Free University of Amsterdam, Holland (2005)
Kampstra, P., van der Mei, R.D., Eiben, A.E.: Evolutionary Computing in Telecommunication Network Design: A Survey (2006), http://www.math.vu.nl/~mei/publications.php
Ehrgott, M., Gandibleux, X.: Approximative Solution Methods for Multiobjective Combinatorial Optimization Problems. Spanish Journal on the Operation Research (Sociedad de Estadistica e Investigacion Operativa Top) 12(1), 1–90 (2004)
Deb, K.: A Fast and Elitist Multiobjective genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2) (2002)
Zitzler, E.: Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD Thesis, Swiss Federal Institute of technology (ETH), Switzerland (1999)
Zimmermann, M., Dostert, K.: The Low Voltage Distribution Network as Last Mile Access Network - Signal Propagation and Noise Scenario in the HF-Range. AEÜ International Journal of Electronics and Communications 54(1), 13–22 (2000)
Kleinrock, L.: Queuing Systems. Theory, vol. 1. J. Wiley, New York (1975)
Hrasnica, H.: Medium Access Control Protocols for Powerline Communications networks. PhD Thesis, Technische Universität Dresden, Germany (2004)
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Haidine, A., Lehnert, R. (2009). Placement of Base Stations in Broadband Power Line Communications Access Networks by Means of Multi-criteria Optimization. In: Wang, C. (eds) AccessNets. AccessNets 2008. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04648-3_13
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DOI: https://doi.org/10.1007/978-3-642-04648-3_13
Publisher Name: Springer, Berlin, Heidelberg
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