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
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Cet article propose une nouvelle approche du décodage d'entrée logiciel de faible complexité pour les récepteurs MIMO assistés par réduction de réseau. L'approche proposée alimente un décodeur d'entrée souple avec des signaux souples fabriqués à partir de signaux de décision dure générés à l'aide d'un détecteur linéaire assisté par réduction de réseau. Le signal doux est une somme pondérée de certains vecteurs candidats qui sont proches du signal de décision dure sortant du détecteur linéaire assisté par réduction de réseau. Cet article propose une technique pour ajuster le poids en fonction du canal pour des performances de transmission plus élevées. De plus, nous proposons d'introduire un coefficient utilisé pour les poids afin d'améliorer les performances de la transmission. Les performances de transmission sont évaluées dans un canal MIMO 4×4. Lorsqu'un filtre MMSE linéaire ou un annuleur d'interférences en série est utilisé comme détecteur linéaire, la technique proposée permet d'obtenir des performances de transmission supérieures d'environ 1.0 dB à un TEB de 10.-5 que le décodeur alimenté par les signaux de décision dure. De plus, la faible complexité informatique de la technique proposée est évaluée quantitativement.
Satoshi DENNO
Okayama University
Koki KASHIHARA
Okayama University
Yafei HOU
Okayama University
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Satoshi DENNO, Koki KASHIHARA, Yafei HOU, "Superposition Signal Input Decoding for Lattice Reduction-Aided MIMO Receivers" in IEICE TRANSACTIONS on Communications,
vol. E106-B, no. 2, pp. 184-192, February 2023, doi: 10.1587/transcom.2022EBP3051.
Abstract: This paper proposes a novel approach to low complexity soft input decoding for lattice reduction-aided MIMO receivers. The proposed approach feeds a soft input decoder with soft signals made from hard decision signals generated by using a lattice reduction-aided linear detector. The soft signal is a weighted-sum of some candidate vectors that are near by the hard decision signal coming out from the lattice reduction-aided linear detector. This paper proposes a technique to adjust the weight adapt to the channel for the higher transmission performance. Furthermore, we propose to introduce a coefficient that is used for the weights in order to enhance the transmission performance. The transmission performance is evaluated in a 4×4 MIMO channel. When a linear MMSE filter or a serial interference canceller is used as the linear detector, the proposed technique achieves about 1.0dB better transmission performance at the BER of 10-5 than the decoder fed with the hard decision signals. In addition, the low computational complexity of the proposed technique is quantitatively evaluated.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2022EBP3051/_p
Copier
@ARTICLE{e106-b_2_184,
author={Satoshi DENNO, Koki KASHIHARA, Yafei HOU, },
journal={IEICE TRANSACTIONS on Communications},
title={Superposition Signal Input Decoding for Lattice Reduction-Aided MIMO Receivers},
year={2023},
volume={E106-B},
number={2},
pages={184-192},
abstract={This paper proposes a novel approach to low complexity soft input decoding for lattice reduction-aided MIMO receivers. The proposed approach feeds a soft input decoder with soft signals made from hard decision signals generated by using a lattice reduction-aided linear detector. The soft signal is a weighted-sum of some candidate vectors that are near by the hard decision signal coming out from the lattice reduction-aided linear detector. This paper proposes a technique to adjust the weight adapt to the channel for the higher transmission performance. Furthermore, we propose to introduce a coefficient that is used for the weights in order to enhance the transmission performance. The transmission performance is evaluated in a 4×4 MIMO channel. When a linear MMSE filter or a serial interference canceller is used as the linear detector, the proposed technique achieves about 1.0dB better transmission performance at the BER of 10-5 than the decoder fed with the hard decision signals. In addition, the low computational complexity of the proposed technique is quantitatively evaluated.},
keywords={},
doi={10.1587/transcom.2022EBP3051},
ISSN={1745-1345},
month={February},}
Copier
TY - JOUR
TI - Superposition Signal Input Decoding for Lattice Reduction-Aided MIMO Receivers
T2 - IEICE TRANSACTIONS on Communications
SP - 184
EP - 192
AU - Satoshi DENNO
AU - Koki KASHIHARA
AU - Yafei HOU
PY - 2023
DO - 10.1587/transcom.2022EBP3051
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2023
AB - This paper proposes a novel approach to low complexity soft input decoding for lattice reduction-aided MIMO receivers. The proposed approach feeds a soft input decoder with soft signals made from hard decision signals generated by using a lattice reduction-aided linear detector. The soft signal is a weighted-sum of some candidate vectors that are near by the hard decision signal coming out from the lattice reduction-aided linear detector. This paper proposes a technique to adjust the weight adapt to the channel for the higher transmission performance. Furthermore, we propose to introduce a coefficient that is used for the weights in order to enhance the transmission performance. The transmission performance is evaluated in a 4×4 MIMO channel. When a linear MMSE filter or a serial interference canceller is used as the linear detector, the proposed technique achieves about 1.0dB better transmission performance at the BER of 10-5 than the decoder fed with the hard decision signals. In addition, the low computational complexity of the proposed technique is quantitatively evaluated.
ER -