PAPR Reduction of OFDM Signals Using Genetic Algorithm PTS Technique
Summary :
The performance of an orthogonal frequency division multiplexing (OFDM) system is degraded if the peak-to-average power ratio (PAPR) is high. In general, in order to obtain optimal PAPR reduction using the partial transmitted sequence (PTS) technique, an exhaustive search of the possible subblocks and rotation factors must be done. As the number of subblocks and rotation factors increases, PAPR reduction improves, but the computational load becomes impractical. In order to reduce the complexity while still improving the OFDM system performance, a new method using a genetic algorithm (GA) is proposed to find a set of rotation factors that reduces both the PAPR and the computational load. A comparison is made between the proposed method and previously developed techniques such as exhaustive and gradient descent PTS methods. The superiority of the proposed method is demonstrated as a reduction in computational load compared with exhaustive PTS and the gradient method, and an improvement in performance compared with the iterative and gradient methods.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E91-B No.4 pp.1194-1197
- Publication Date
- 2008/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e91-b.4.1194
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Sung-Soo KIM, Myoung-Je KIM, T. Aaron GULLIVER, "PAPR Reduction of OFDM Signals Using Genetic Algorithm PTS Technique" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 4, pp. 1194-1197, April 2008, doi: 10.1093/ietcom/e91-b.4.1194.
Abstract: The performance of an orthogonal frequency division multiplexing (OFDM) system is degraded if the peak-to-average power ratio (PAPR) is high. In general, in order to obtain optimal PAPR reduction using the partial transmitted sequence (PTS) technique, an exhaustive search of the possible subblocks and rotation factors must be done. As the number of subblocks and rotation factors increases, PAPR reduction improves, but the computational load becomes impractical. In order to reduce the complexity while still improving the OFDM system performance, a new method using a genetic algorithm (GA) is proposed to find a set of rotation factors that reduces both the PAPR and the computational load. A comparison is made between the proposed method and previously developed techniques such as exhaustive and gradient descent PTS methods. The superiority of the proposed method is demonstrated as a reduction in computational load compared with exhaustive PTS and the gradient method, and an improvement in performance compared with the iterative and gradient methods.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.4.1194/_p
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@ARTICLE{e91-b_4_1194,
author={Sung-Soo KIM, Myoung-Je KIM, T. Aaron GULLIVER, },
journal={IEICE TRANSACTIONS on Communications},
title={PAPR Reduction of OFDM Signals Using Genetic Algorithm PTS Technique},
year={2008},
volume={E91-B},
number={4},
pages={1194-1197},
abstract={The performance of an orthogonal frequency division multiplexing (OFDM) system is degraded if the peak-to-average power ratio (PAPR) is high. In general, in order to obtain optimal PAPR reduction using the partial transmitted sequence (PTS) technique, an exhaustive search of the possible subblocks and rotation factors must be done. As the number of subblocks and rotation factors increases, PAPR reduction improves, but the computational load becomes impractical. In order to reduce the complexity while still improving the OFDM system performance, a new method using a genetic algorithm (GA) is proposed to find a set of rotation factors that reduces both the PAPR and the computational load. A comparison is made between the proposed method and previously developed techniques such as exhaustive and gradient descent PTS methods. The superiority of the proposed method is demonstrated as a reduction in computational load compared with exhaustive PTS and the gradient method, and an improvement in performance compared with the iterative and gradient methods.},
keywords={},
doi={10.1093/ietcom/e91-b.4.1194},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - PAPR Reduction of OFDM Signals Using Genetic Algorithm PTS Technique
T2 - IEICE TRANSACTIONS on Communications
SP - 1194
EP - 1197
AU - Sung-Soo KIM
AU - Myoung-Je KIM
AU - T. Aaron GULLIVER
PY - 2008
DO - 10.1093/ietcom/e91-b.4.1194
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2008
AB - The performance of an orthogonal frequency division multiplexing (OFDM) system is degraded if the peak-to-average power ratio (PAPR) is high. In general, in order to obtain optimal PAPR reduction using the partial transmitted sequence (PTS) technique, an exhaustive search of the possible subblocks and rotation factors must be done. As the number of subblocks and rotation factors increases, PAPR reduction improves, but the computational load becomes impractical. In order to reduce the complexity while still improving the OFDM system performance, a new method using a genetic algorithm (GA) is proposed to find a set of rotation factors that reduces both the PAPR and the computational load. A comparison is made between the proposed method and previously developed techniques such as exhaustive and gradient descent PTS methods. The superiority of the proposed method is demonstrated as a reduction in computational load compared with exhaustive PTS and the gradient method, and an improvement in performance compared with the iterative and gradient methods.
ER -
English
