A symbolic regression approach to manage femtocell coverage using grammatical genetic programming

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dc.contributor.author Hemberg, Erik
dc.contributor.author Ho, Lester
dc.contributor.author O'Neill, Michael
dc.contributor.author Claussen, Holger
dc.date.accessioned 2012-02-16T12:03:30Z
dc.date.available 2012-02-16T12:03:30Z
dc.date.copyright 2011 ACM en
dc.date.issued 2011
dc.identifier.isbn 978-1-4503-0690-4
dc.identifier.uri http://hdl.handle.net/10197/3511
dc.description Paper presented at the ACM Genetic and Evolutionary Computation Conference GECCO 2011 Symbolic Regression and Modelling Workshop, Dublin, Ireland, 12-16, July en
dc.description.abstract We present a novel application of Grammatical Evolution to the real-world application of femtocell coverage. A symbolic regression approach is adopted in which we wish to uncover an expression to automatically manage the power settings of individual femtocells in a larger femtocell group to optimise the coverage of the network under time varying load. The generation of symbolic expressions is important as it facilitates the analysis of the evolved solutions. Given the multi-objective nature of the problem we hybridise Grammatical Evolution with NSGA-II connected to tabu search. The best evolved solutions have superior power consumption characteristics than a fixed coverage femtocell deployment. en
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference website en
dc.description.uri http://www.sigevo.org/gecco-2011/ en
dc.format.extent 2491337 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher ACM en
dc.relation.ispartof GECCO '11 : Proceedings of the 13th annual conference companion on Genetic and evolutionary computation en
dc.relation.requires CASL Research Collection en
dc.rights This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the GECCO '11 Proceedings of the 13th annual conference companion on Genetic and evolutionary computation http://doi.acm.org/10.1145/2001858.2002061 en
dc.subject Femtocell en
dc.subject Grammatical evolution en
dc.subject Symbolic regression en
dc.subject Wireless networks en
dc.subject.lcsh Femtocells en
dc.subject.lcsh Evolutionary computation en
dc.subject.lcsh Wireless sensor networks en
dc.title A symbolic regression approach to manage femtocell coverage using grammatical genetic programming en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://doi.acm.org/10.1145/2001858.2002061 en
dc.status Peer reviewed en
dc.identifier.doi 10.1145/2001858.2002061
dc.neeo.contributor Hemberg|Erik|aut| en
dc.neeo.contributor Ho|Lester|aut| en
dc.neeo.contributor O'Neill|Michael|aut| en
dc.neeo.contributor Claussen|Holger|aut| en
dc.description.admin ti, ke, ab, co, li - TS 02.12 en


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