Load Balancing in Heterogeneous Networks using Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{fenton:cec2015,
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author = "Michael Fenton and David Lynch and Stepan Kucera and
Holger Claussen and Michael O'Neill",
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title = "Load Balancing in Heterogeneous Networks using
Grammatical Evolution",
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booktitle = "Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015)",
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editor = "Yadahiko Murata",
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pages = "70--76",
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year = "2015",
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address = "Sendai, Japan",
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month = "25-28 " # may,
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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DOI = "doi:10.1109/CEC.2015.7256876",
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abstract = "Grammatical Evolution (GE) is applied to the problem
of load balancing in heterogeneous cellular network
deployments (HetNets). HetNets are multi-tiered
cellular networks for which load balancing is a
scalable means to maximise network capacity, assuming
similar traffic from all users. This paper describes a
proof of concept study in which GE is used in a genetic
algorithm-like way to evolve constants which represent
cell power and selection bias in order to achieve load
balancing in HetNets. A fitness metric is derived to
achieve load balancing both locally in sectors and
globally across tiers. Initial results show promise for
GE as a heuristic for load balancing. This finding
motivates a more sophisticated grammar to bring
enhanced Inter-Cell Interference Coordination
optimisation into an evolutionary framework.",
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notes = "1545 hrs 15434 CEC2015",
- }
Genetic Programming entries for
Michael Fenton
David Lynch
Stepan Kucera
Holger Claussen
Michael O'Neill
Citations