Towards Automation \& Augmentation of the Design of Schedulers for Cellular Communications Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

@Article{Fenton:EC,
  author =       "Michael Fenton and David Lynch and David Fagan and 
                 Stepan Kucera and Holger Claussen and Michael O'Neill",
  title =        "Towards Automation \& Augmentation of the Design of
                 Schedulers for Cellular Communications Networks",
  journal =      "Evolutionary Computation",
  note =         "Forthcoming",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1063-6560",
  URL =          "https://doi.org/10.1162/evco_a_00221",
  DOI =          "doi:10.1162/evco_a_00221",
  size =         "30 pages",
  abstract =     "Evolutionary Computation is used to automatically
                 evolve small cell schedulers on a realistic simulation
                 of a 4G-LTE heterogeneous cellular network. Evolved
                 schedulers are then further augmented by human design
                 to improve robustness. Extensive analysis of evolved
                 solutions and their performance across a wide range of
                 metrics reveals evolution has uncovered a new
                 human-competitive scheduling technique which
                 generalises well across cells of varying sizes.
                 Furthermore, evolved methods are shown to conform to
                 accepted scheduling frameworks without the evolutionary
                 process being explicitly told the form of the desired
                 solution. Evolved solutions are shown to outperform a
                 human-engineered state-of-the-art benchmark by up to
                 50percent. Finally, the approach is shown to be
                 flexible in that tailored algorithms can be evolved for
                 specific scenarios and corner cases, allowing network
                 operators to create unique algorithms for different
                 deployments, and to postpone the need for costly
                 hardware upgrades.",
  notes =        "PMID: 29528725",
}

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

Citations