Scheduling in Heterogeneous Networks using Grammar-based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Lynch:2016:EuroGP,
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author = "David Lynch and Michael Fenton and Stepan Kucera and
Holger Claussen and Michael O'Neill",
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title = "Scheduling in Heterogeneous Networks using
Grammar-based Genetic Programming",
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booktitle = "EuroGP 2016: Proceedings of the 19th European
Conference on Genetic Programming",
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year = "2016",
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month = "30 " # mar # "--1 " # apr,
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editor = "Malcolm I. Heywood and James McDermott and
Mauro Castelli and Ernesto Costa and Kevin Sim",
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series = "LNCS",
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volume = "9594",
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publisher = "Springer Verlag",
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address = "Porto, Portugal",
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pages = "83--98",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-319-30668-1",
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DOI = "doi:10.1007/978-3-319-30668-1_6",
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abstract = "Effective scheduling in Heterogeneous Networks is key
to realising the benefits from enhanced Inter-Cell
Interference Coordination. In this paper we address the
problem using Grammar-based Genetic Programming. Our
solution executes on a millisecond timescale so it can
track with changing network conditions. Furthermore,
the system is trained using only those measurement
statistics that are attainable in real networks.
Finally, the solution generalises well with respect to
dynamic traffic and variable cell placement. Superior
results are achieved relative to a benchmark scheme
from the literature, illustrating an opportunity for
the further use of Genetic Programming in
software-defined autonomic wireless communications
networks.",
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notes = "Part of \cite{Heywood:2016:GP} EuroGP'2016 held in
conjunction with EvoCOP2016, EvoMusArt2016 and
EvoApplications2016",
- }
Genetic Programming entries for
David Lynch
Michael Fenton
Stepan Kucera
Holger Claussen
Michael O'Neill
Citations