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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/3580

Title: An intelligent genetic algorithm for PAPR reduction in a multi-carrier CDMA wireless system
Authors: Zhang, Y
Ni, Q
Chen, HH
Song, Y
Keywords: PAPR; MC-CDMA; Genetic Algorithm; PartialTransmit Sequence
Publication Date: 2008
Publisher: IEEE
Citation: IWCMC '08. International Wireless Communications and Mobile Computing Conference. Crete Island, 6-8 Aug. 2008. pp.1052 - 1057.
Abstract: Abstract— 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.
URI: http://bura.brunel.ac.uk/handle/2438/3580
Appears in Collections:School of Engineering and Design Research papers
Electronic and Computer Engineering

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