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
Dans cet article, la question de la compensation du décalage de fréquence porteuse (CFO) dans un système de liaison montante à accès multiple par répartition orthogonale de la fréquence entrelacée (OFDMA) est étudiée. Pour atténuer l'effet des interférences d'accès multiples (MAI) provoquées par les CFO de différents utilisateurs, un nouvel algorithme de compensation d'annulation d'interférence parallèle (PIC) est proposé. Ce schéma utilise le critère d'erreur quadratique moyenne minimale (MMSE) pour obtenir l'estimation des interférences des utilisateurs, puis des convolutions circulaires sont utilisées pour restaurer le MAI et compenser le CFO. Pour résoudre le problème de complexité des convolutions circulaires, une méthode efficace de restauration et d’annulation du MAI est développée. Les simulations illustrent les bonnes performances et la faible complexité de calcul de l'algorithme proposé.
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Ruiqin MIAO, Jun SUN, Lin GUI, Jian XIONG, "A Novel Interference Cancellation Approach for Interleaved OFDMA Uplink System" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 11, pp. 3432-3438, November 2009, doi: 10.1587/transcom.E92.B.3432.
Abstract: In this paper, the issue of carrier frequency offset (CFO) compensation in interleaved orthogonal frequency division multiple access (OFDMA) uplink system is investigated. To mitigate the effect of multiple access interference (MAI) caused by CFOs of different users, a new parallel interference cancellation (PIC) compensation algorithm is proposed. This scheme uses minimum mean square error (MMSE) criterion to obtain the estimation of interference users, then circular convolutions are employed to restore MAI and compensate CFO. To tackle the complexity problem of circular convolutions, an efficient MAI restoration and cancellation method is developed. Simulations illustrate the good performance and low computational complexity of the proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.3432/_p
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@ARTICLE{e92-b_11_3432,
author={Ruiqin MIAO, Jun SUN, Lin GUI, Jian XIONG, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Interference Cancellation Approach for Interleaved OFDMA Uplink System},
year={2009},
volume={E92-B},
number={11},
pages={3432-3438},
abstract={In this paper, the issue of carrier frequency offset (CFO) compensation in interleaved orthogonal frequency division multiple access (OFDMA) uplink system is investigated. To mitigate the effect of multiple access interference (MAI) caused by CFOs of different users, a new parallel interference cancellation (PIC) compensation algorithm is proposed. This scheme uses minimum mean square error (MMSE) criterion to obtain the estimation of interference users, then circular convolutions are employed to restore MAI and compensate CFO. To tackle the complexity problem of circular convolutions, an efficient MAI restoration and cancellation method is developed. Simulations illustrate the good performance and low computational complexity of the proposed algorithm.},
keywords={},
doi={10.1587/transcom.E92.B.3432},
ISSN={1745-1345},
month={November},}
Copier
TY - JOUR
TI - A Novel Interference Cancellation Approach for Interleaved OFDMA Uplink System
T2 - IEICE TRANSACTIONS on Communications
SP - 3432
EP - 3438
AU - Ruiqin MIAO
AU - Jun SUN
AU - Lin GUI
AU - Jian XIONG
PY - 2009
DO - 10.1587/transcom.E92.B.3432
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2009
AB - In this paper, the issue of carrier frequency offset (CFO) compensation in interleaved orthogonal frequency division multiple access (OFDMA) uplink system is investigated. To mitigate the effect of multiple access interference (MAI) caused by CFOs of different users, a new parallel interference cancellation (PIC) compensation algorithm is proposed. This scheme uses minimum mean square error (MMSE) criterion to obtain the estimation of interference users, then circular convolutions are employed to restore MAI and compensate CFO. To tackle the complexity problem of circular convolutions, an efficient MAI restoration and cancellation method is developed. Simulations illustrate the good performance and low computational complexity of the proposed algorithm.
ER -