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Interleaver Optimization using Population-Based Metaheuristics

SYSNO ASEP	0350889
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve WOS
Název	Interleaver Optimization using Population-Based Metaheuristics
Tvůrce(i)	Snášel, V. (CZ) Platoš, J. (CZ) Krömer, P. (CZ) Abraham, A. (NO) Ouddane, N. (CZ) Húsek, Dušan (UIVT-O)_{RID, SAI, ORCID}
Zdroj.dok.	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 20, č. 5 (2010), s. 591-608
Poč.str.	18 s.
Jazyk dok.	eng - angličtina
Země vyd.	CZ - Česká republika
Klíč. slova	turbo codes ; global optimization ; genetic algorithms ; differential evolution ; noisy communication channel
Vědní obor RIV	IN - Informatika
CEP	GA205/09/1079 GA ČR - Grantová agentura ČR
CEZ	AV0Z10300504 - UIVT-O (2005-2011)
UT WOS	000284915500002
EID SCOPUS	78649611120
Anotace	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.
Pracoviště	Ústav informatiky
Kontakt	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Rok sběru	2011

Počet záznamů: 1