An interference-aware clustering based on genetic algorithm for cell broadcasting service

Kyungho Jun, Sekchin Chang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this letter, we present a novel interference-aware clustering scheme for cell broadcasting service. The proposed approach is based on a genetic algorithm for re-clustering. Using the genetic algorithm, the suggested method efficiently re-clusters the user nodes when the relays fail in receiving the cell broadcasting message from the base station. The simulation results exhibit that the proposed clustering scheme can maintain much higher capacity than the conventional clustering scheme in the cases of relay outage. The re-clustering method based on genetic algorithm also shows lower complexity than the re-clustering approach based on exhaustive search.

Original languageEnglish
Pages (from-to)2740-2744
Number of pages5
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE96-A
Issue number12
DOIs
StatePublished - Dec 2013

Keywords

  • Cell broadcasting service
  • Genetic algorithm
  • Interference-aware clustering

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