Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7662

@InProceedings{conf/evoW/FentonLKCO16,

• author = "Michael Fenton and David Lynch and Stepan Kucera and Holger Claussen and Michael O'Neill",
• title = "Evolving Coverage Optimisation Functions for Heterogeneous Networks Using Grammatical Genetic Programming",
• booktitle = "19th European Conference on Applications of Evolutionary Computation, EvoApplications 2016",
• year = "2016",
• editor = "Giovanni Squillero and Paolo Burelli",
• volume = "9597",
• series = "Lecture Notes in Computer Science",
• pages = "219--234",
• address = "Porto, Portugal",
• month = mar # " 30 -- " # apr # " 1",
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• bibdate = "2016-03-23",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/evoW/evoappl2016-1.html#FentonLKCO16",
• isbn13 = "978-3-319-31204-0",
• DOI = "doi:10.1007/978-3-319-31204-0_15",
• abstract = "Heterogeneous Cellular Networks are multi-tiered cellular networks comprised of Macro Cells and Small Cells in which all cells occupy the same bandwidth. User Equipments greedily attach to whichever cell provides the best signal strength. While Macro Cells are invariant, the power and selection bias for each Small Cell can be increased or decreased (subject to pre-defined limits) such that more or fewer UEs attach to that cell. Setting optimal power and selection bias levels for Small Cells is key for good network performance. The application of Genetic Programming techniques has been proven to produce good results in the control of Heterogenous Networks. Expanding on previous works, this paper uses grammatical GP to evolve distributed control functions for Small Cells in order to vary their power and bias settings. The objective of these control functions is to evolve control functions that maximise a proportional fair utility of UE throughputs.",
• notes = "EvoApplications2016 held inconjunction with EuroGP'2016, EvoCOP2016 and EvoMUSART 2016",

}

Genetic Programming entries for Michael Fenton David Lynch Stepan Kucera Holger Claussen Michael O'Neill

Citations