Load Balancing in Heterogeneous Networks using Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Michael Fenton and David Lynch and Stepan Kucera and 
                 Holger Claussen and Michael O'Neill",
  title =        "Load Balancing in Heterogeneous Networks using
                 Grammatical Evolution",
  booktitle =    "Proceedings of 2015 IEEE Congress on Evolutionary
                 Computation (CEC 2015)",
  editor =       "Yadahiko Murata",
  pages =        "70--76",
  year =         "2015",
  address =      "Sendai, Japan",
  month =        "25-28 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammatical
  DOI =          "doi:10.1109/CEC.2015.7256876",
  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.",
  notes =        "1545 hrs 15434 CEC2015",

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