An intelligent genetic algorithm for PAPR reduction in a multi-carrier CDMA wireless system

Zhang, Y. and Ni, Q. and Chen, H.H. and Song, Y. (2008) An intelligent genetic algorithm for PAPR reduction in a multi-carrier CDMA wireless system. In: Wireless Communications and Mobile Computing Conference, 2008. IWCMC'08. International. IEEE, pp. 1052-1057. ISBN 978-1-4244-2201-2

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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.

Item Type:
Contribution in Book/Report/Proceedings
ID Code:
62365
Deposited By:
Deposited On:
19 Mar 2013 10:33
Refereed?:
Yes
Published?:
Published
Last Modified:
10 Jun 2020 22:35