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A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system

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A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system. / Zhang, Y.; Ni, Q.; Chen, H.H.
In: International Journal of Autonomous and Adaptive Communications Systems, Vol. 2, No. 1, 2009, p. 40-57.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Zhang Y, Ni Q, Chen HH. A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system. International Journal of Autonomous and Adaptive Communications Systems. 2009;2(1):40-57. doi: 10.1504/IJAACS.2009.024282

Author

Zhang, Y. ; Ni, Q. ; Chen, H.H. / A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system. In: International Journal of Autonomous and Adaptive Communications Systems. 2009 ; Vol. 2, No. 1. pp. 40-57.

Bibtex

@article{6545541921a74c98adbd6a69e2fb359f,
title = "A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system",
abstract = "One major drawback of multi-carrier broadband wireless transmission system is that its signal may cause high peak-to-average power ratio (PAPR). This article proposes a new partial transmit sequence (PTS) scheme using genetic algorithm for PAPR reduction in a synchronous multi-carrier code division multiple access wireless system. We investigate the impact of each genetic algorithm operator and optimally configure genetic algorithm to be suitable for the practical system design. The simulation results demonstrate that our proposed genetic algorithm-based PTS scheme achieves low PAPR values with much lower computational complexity than other existing solutions. Meanwhile, the optimal parameters of genetic algorithm assisted PTS are provided.",
author = "Y. Zhang and Q. Ni and H.H. Chen",
year = "2009",
doi = "10.1504/IJAACS.2009.024282",
language = "English",
volume = "2",
pages = "40--57",
journal = "International Journal of Autonomous and Adaptive Communications Systems",
issn = "1754-8640",
publisher = "Inderscience Enterprises Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system

AU - Zhang, Y.

AU - Ni, Q.

AU - Chen, H.H.

PY - 2009

Y1 - 2009

N2 - One major drawback of multi-carrier broadband wireless transmission system is that its signal may cause high peak-to-average power ratio (PAPR). This article proposes a new partial transmit sequence (PTS) scheme using genetic algorithm for PAPR reduction in a synchronous multi-carrier code division multiple access wireless system. We investigate the impact of each genetic algorithm operator and optimally configure genetic algorithm to be suitable for the practical system design. The simulation results demonstrate that our proposed genetic algorithm-based PTS scheme achieves low PAPR values with much lower computational complexity than other existing solutions. Meanwhile, the optimal parameters of genetic algorithm assisted PTS are provided.

AB - One major drawback of multi-carrier broadband wireless transmission system is that its signal may cause high peak-to-average power ratio (PAPR). This article proposes a new partial transmit sequence (PTS) scheme using genetic algorithm for PAPR reduction in a synchronous multi-carrier code division multiple access wireless system. We investigate the impact of each genetic algorithm operator and optimally configure genetic algorithm to be suitable for the practical system design. The simulation results demonstrate that our proposed genetic algorithm-based PTS scheme achieves low PAPR values with much lower computational complexity than other existing solutions. Meanwhile, the optimal parameters of genetic algorithm assisted PTS are provided.

U2 - 10.1504/IJAACS.2009.024282

DO - 10.1504/IJAACS.2009.024282

M3 - Journal article

VL - 2

SP - 40

EP - 57

JO - International Journal of Autonomous and Adaptive Communications Systems

JF - International Journal of Autonomous and Adaptive Communications Systems

SN - 1754-8640

IS - 1

ER -