The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
La réservation de tonalité (TR) a été proposée pour la réduction de puissance crête à moyenne (PAPR) dans les systèmes multiporteuses en bande de base réelle [1]. Dans cette technique, le signal de réduction de crête est calculé par optimisation via programmation linéaire (LP). Comme le montre [1], la complexité de calcul de l'optimisation LP est largement déterminée par la complexité de l'algorithme de transformée de Fourier rapide inverse (IFFT). Dans cet article, nous utilisons des sous-matrices de la transformée de Fourier rapide inverse (IFFT) pour réduire le nombre de contraintes dans l'optimisation basée sur LP. Nous montrons qu’une réduction significative de la complexité peut être obtenue par rapport à l’algorithme TR conventionnel, avec une réduction PAPR similaire.
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Abolfazl GHASSEMI, T. Aaron GULLIVER, "Reduced Constraint Set Linear Program for Tone Reservation in Multicarrier Modulation" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 6, pp. 2231-2234, June 2009, doi: 10.1587/transcom.E92.B.2231.
Abstract: Tone reservation (TR) has been proposed for peak to average power reduction (PAPR) in real-baseband multicarrier systems [1]. In this technique, the peak reduction signal is computed by optimization via linear programming (LP). As shown in [1], the computational complexity of the LP optimization is largely determined by the complexity of the inverse fast Fourier transform (IFFT) algorithm. In this paper, we use submatrices of the inverse fast Fourier transform (IFFT) to reduce the number of constraints in the LP-based optimization. We show that a significant complexity reduction can be achieved compared to the conventional TR algorithm, with similar PAPR reduction.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2231/_p
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@ARTICLE{e92-b_6_2231,
author={Abolfazl GHASSEMI, T. Aaron GULLIVER, },
journal={IEICE TRANSACTIONS on Communications},
title={Reduced Constraint Set Linear Program for Tone Reservation in Multicarrier Modulation},
year={2009},
volume={E92-B},
number={6},
pages={2231-2234},
abstract={Tone reservation (TR) has been proposed for peak to average power reduction (PAPR) in real-baseband multicarrier systems [1]. In this technique, the peak reduction signal is computed by optimization via linear programming (LP). As shown in [1], the computational complexity of the LP optimization is largely determined by the complexity of the inverse fast Fourier transform (IFFT) algorithm. In this paper, we use submatrices of the inverse fast Fourier transform (IFFT) to reduce the number of constraints in the LP-based optimization. We show that a significant complexity reduction can be achieved compared to the conventional TR algorithm, with similar PAPR reduction.},
keywords={},
doi={10.1587/transcom.E92.B.2231},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - Reduced Constraint Set Linear Program for Tone Reservation in Multicarrier Modulation
T2 - IEICE TRANSACTIONS on Communications
SP - 2231
EP - 2234
AU - Abolfazl GHASSEMI
AU - T. Aaron GULLIVER
PY - 2009
DO - 10.1587/transcom.E92.B.2231
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2009
AB - Tone reservation (TR) has been proposed for peak to average power reduction (PAPR) in real-baseband multicarrier systems [1]. In this technique, the peak reduction signal is computed by optimization via linear programming (LP). As shown in [1], the computational complexity of the LP optimization is largely determined by the complexity of the inverse fast Fourier transform (IFFT) algorithm. In this paper, we use submatrices of the inverse fast Fourier transform (IFFT) to reduce the number of constraints in the LP-based optimization. We show that a significant complexity reduction can be achieved compared to the conventional TR algorithm, with similar PAPR reduction.
ER -