TY - GEN
T1 - An intelligent genetic algorithm for PAPR reduction in a multi-carrier CDMA wireless system
AU - Zhang, Yang
AU - Ni, Qiang
AU - Chen, Hsiao Hwa
AU - Song, Yonghua
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=52949139103&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52949139103&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2008.183
DO - 10.1109/IWCMC.2008.183
M3 - Conference contribution
AN - SCOPUS:52949139103
SN - 9781424422029
T3 - IWCMC 2008 - International Wireless Communications and Mobile Computing Conference
SP - 1052
EP - 1057
BT - IWCMC 2008 - International Wireless Communications and Mobile Computing Conference
T2 - International Wireless Communications and Mobile Computing Conference, IWCMC 2008
Y2 - 6 August 2008 through 8 August 2008
ER -