Managing Quality of Service through Intelligent Scheduling in Heterogeneous Wireless Communications Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Lynch:2018:CEC,
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author = "David Lynch and David Fagan and Stepan Kucera and
Holger Claussen and Michael O'Neill",
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title = "Managing Quality of Service through Intelligent
Scheduling in Heterogeneous Wireless Communications
Networks",
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booktitle = "2018 IEEE Congress on Evolutionary Computation (CEC)",
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year = "2018",
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editor = "Marley Vellasco",
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address = "Rio de Janeiro, Brazil",
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month = "8-13 " # jul,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/CEC.2018.8477871",
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abstract = "Small Cells are being deployed alongside pre-existing
Macro Cells in order to satisfy demand during the
current era of exponential growth in mobile traffic.
Heterogeneous networks are economical because both cell
tiers share the same scarce and expensive spectrum.
However, customers at cell edges experience severe
cross-tier interference in channel sharing Het-Nets,
resulting in poor service quality. Techniques for
improving fairness globally have been developed in
previous works. In this paper, a novel method for
service differentiation at the level of individual
customers is proposed. The proposed algorithm
redistributes spectrum on a millisecond timescale, so
that premium customers experience minimum downlink
rates exceeding a target threshold. System level
simulations indicate that downlink rate targets of at
least 1 [Mbps] are always satisfied under the proposed
scheme. By contrast, naive scheduling achieves the 1
[Mbps] target only 83percent of the time. Quality of
service can be improved for premium customers without
significantly impacting global fairness metrics.
Flexible service differentiation will be key to
effectively monetizing the next generation of 5G
wireless communications networks.",
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notes = "WCCI2018",
- }
Genetic Programming entries for
David Lynch
David Fagan
Stepan Kucera
Holger Claussen
Michael O'Neill
Citations