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  • Since their appearance in 1993, first approaching the Shannon limit, turbo codes have given a new direction in the channel encoding field, especially since they have been adopted for multiple norms of telecommunications such as deeper communication. A robust interleaver can significantly contribute to the overall performance a turbo code system. Search for a good interleaver is a complex combinatorial optimization problem. In this paper, we present genetic algorithms and differential evolution, two bio-inspired approaches that have proven the ability to solve non-trivial combinatorial optimization tasks, as promising optimization methods to find a well-performing interleaver for large frame sizes.
  • Since their appearance in 1993, first approaching the Shannon limit, turbo codes have given a new direction in the channel encoding field, especially since they have been adopted for multiple norms of telecommunications such as deeper communication. A robust interleaver can significantly contribute to the overall performance a turbo code system. Search for a good interleaver is a complex combinatorial optimization problem. In this paper, we present genetic algorithms and differential evolution, two bio-inspired approaches that have proven the ability to solve non-trivial combinatorial optimization tasks, as promising optimization methods to find a well-performing interleaver for large frame sizes. (en)
Title
  • Interleaver Optimization using Population-Based Metaheuristics
  • Interleaver Optimization using Population-Based Metaheuristics (en)
skos:prefLabel
  • Interleaver Optimization using Population-Based Metaheuristics
  • Interleaver Optimization using Population-Based Metaheuristics (en)
skos:notation
  • RIV/67985807:_____/10:00350889!RIV11-GA0-67985807
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/1494), P(GA205/09/1079), Z(AV0Z10300504)
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 264506
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/10:00350889
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • turbo codes; global optimization; genetic algorithms; differential evolution; noisy communication channel (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [599185C722D2]
http://linked.open...i/riv/nazevZdroje
  • Neural Network World
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 20
http://linked.open...iv/tvurceVysledku
  • Húsek, Dušan
  • Abraham, A.
  • Snášel, V.
  • Krömer, P.
  • Ouddane, N.
  • Platoš, J.
http://linked.open...ain/vavai/riv/wos
  • 000284915500002
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-0552
number of pages
is http://linked.open...avai/riv/vysledek of
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