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dc.contributor.authorZhang, Y-
dc.contributor.authorNi, Q-
dc.contributor.authorChen, HH-
dc.contributor.authorSong, Y-
dc.identifier.citationIWCMC '08. International Wireless Communications and Mobile Computing Conference. Crete Island, 6-8 Aug. 2008. pp.1052 - 1057.en
dc.description.abstractAbstract— A novel intelligent genetic algorithm (GA), called Minimum Distance guided GA (MDGA) is proposed for peak-average-power ratio (PAPR) reduction based on partial transmit sequence (PTS) scheme in a synchronous Multi-Carrier Code Division Multiple Access (MC-CDMA) system. In contrast to traditional GA, our MDGA starts with a balanced ratio of exploration and exploitation which is maintained throughout the process. It introduces a novel replacement strategy which increases significantly the convergence rate and reduce dramatically computational complexity as compared to the conventional GA. The simulation results demonstrate that, if compared to the PAPR reduction schemes using exhaustive search and traditional GA, our scheme achieves 99.52% and 50+% reduction in computational complexity respectively.en
dc.format.extent281037 bytes-
dc.subjectPAPR; MC-CDMA; Genetic Algorithm; PartialTransmit Sequenceen
dc.titleAn intelligent genetic algorithm for PAPR reduction in a multi-carrier CDMA wireless systemen
dc.typeConference Paperen
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Research Papers

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