IEICE TRANSACTIONS on Communications
An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems
Summary :
This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E94-B No.2 pp.576-579
- Publication Date
- 2011/02/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E94.B.576
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Kazuhiko FUJIMOTO, Shigeru TOMISATO, Masaharu HATA, Hiromasa FUJII, "An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E94-B, no. 2, pp. 576-579, February 2011, doi: 10.1587/transcom.E94.B.576.
Abstract: This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E94.B.576/_p
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@ARTICLE{e94-b_2_576,
author={Kazuhiko FUJIMOTO, Shigeru TOMISATO, Masaharu HATA, Hiromasa FUJII, },
journal={IEICE TRANSACTIONS on Communications},
title={An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems},
year={2011},
volume={E94-B},
number={2},
pages={576-579},
abstract={This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.},
keywords={},
doi={10.1587/transcom.E94.B.576},
ISSN={1745-1345},
month={February},}
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TY - JOUR
TI - An Iterative Peak Power Reduction Method with Adaptive Intermediary Over-Sampling for Wireless OFDMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 576
EP - 579
AU - Kazuhiko FUJIMOTO
AU - Shigeru TOMISATO
AU - Masaharu HATA
AU - Hiromasa FUJII
PY - 2011
DO - 10.1587/transcom.E94.B.576
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E94-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2011
AB - This paper proposes an iterative peak power reduction method with adaptive intermediary over-sampling which uses the necessary minimum bandwidth according to iteration number for wireless OFDMA systems. The required bandwidth to each iteration number is evaluated by computer simulation, and over-sampling numbers in iterative processing are controlled by using the simulation results. The results show that the required bandwidth is 1.6, 2.0, and 2.7 times of the used signal bandwidth at the iteration number of 1, 2, and 3, respectively. The proposed adaptive over-sampling method can reduce its multiplication number by 13%.
ER -
English
