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 les systèmes multi-utilisateurs MIMO-BC (Multiple-Input Multiple-Output Broadcasting), la sélection des utilisateurs est importante pour obtenir une diversité multi-utilisateurs. L'algorithme optimal de sélection d'utilisateurs consiste à essayer toutes les combinaisons d'utilisateurs pour trouver le groupe d'utilisateurs capable d'atteindre la diversité multi-utilisateurs. Malheureusement, le coût de calcul élevé de l’algorithme optimal empêche sa mise en œuvre. Ainsi, au lieu de l’algorithme optimal, certains algorithmes de sélection d’utilisateurs sous-optimaux ont été proposés, basés sur la semi-orthogonalité des vecteurs de canaux utilisateur. Le but de cet article est d'atteindre une diversité multi-utilisateurs avec une petite quantité de calcul. À cette fin, nous proposons un algorithme de sélection d’utilisateurs permettant d’améliorer l’orthogonalité d’un groupe d’utilisateurs sélectionné. Nous appliquons également une technique de prédiction de canal à un système MIMO-BC pour obtenir des informations de canal plus précises au niveau de l'émetteur. Les résultats de simulation montrent que la prédiction de canal peut améliorer la précision des informations de canal pour les sélections d'utilisateur, et que l'algorithme de sélection d'utilisateur proposé atteint une capacité de débit de somme plus élevée que l'algorithme SUS (Semiorthogonal User Selection). Nous discutons également du réglage du seuil de l'algorithme. Suite à une discussion sur la complexité de calcul, qui utilise le nombre de multiplications complexes comme paramètre, il apparaît que l'algorithme proposé a une complexité de calcul presque égale à celle de l'algorithme SUS, et qu'elle est bien inférieure à celle de l'algorithme SUS. algorithme optimal de sélection des utilisateurs.
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Zhi MIN, Tomoaki OHTSUKI, "An Improved User Selection Algorithm in Multiuser MIMO Broadcast with Channel Prediction" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 8, pp. 2667-2674, August 2009, doi: 10.1587/transcom.E92.B.2667.
Abstract: In multiuser MIMO-BC (Multiple-Input Multiple-Output Broadcasting) systems, user selection is important to achieve multiuser diversity. The optimal user selection algorithm is to try all the combinations of users to find the user group that can achieve the multiuser diversity. Unfortunately, the high calculation cost of the optimal algorithm prevents its implementation. Thus, instead of the optimal algorithm, some suboptimal user selection algorithms were proposed based on semiorthogonality of user channel vectors. The purpose of this paper is to achieve multiuser diversity with a small amount of calculation. For this purpose, we propose a user selection algorithm that can improve the orthogonality of a selected user group. We also apply a channel prediction technique to a MIMO-BC system to get more accurate channel information at the transmitter. Simulation results show that the channel prediction can improve the accuracy of channel information for user selections, and the proposed user selection algorithm achieves higher sum rate capacity than the SUS (Semiorthogonal User Selection) algorithm. Also we discuss the setting of the algorithm threshold. As the result of a discussion on the calculation complexity, which uses the number of complex multiplications as the parameter, the proposed algorithm is shown to have a calculation complexity almost equal to that of the SUS algorithm, and they are much lower than that of the optimal user selection algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2667/_p
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@ARTICLE{e92-b_8_2667,
author={Zhi MIN, Tomoaki OHTSUKI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Improved User Selection Algorithm in Multiuser MIMO Broadcast with Channel Prediction},
year={2009},
volume={E92-B},
number={8},
pages={2667-2674},
abstract={In multiuser MIMO-BC (Multiple-Input Multiple-Output Broadcasting) systems, user selection is important to achieve multiuser diversity. The optimal user selection algorithm is to try all the combinations of users to find the user group that can achieve the multiuser diversity. Unfortunately, the high calculation cost of the optimal algorithm prevents its implementation. Thus, instead of the optimal algorithm, some suboptimal user selection algorithms were proposed based on semiorthogonality of user channel vectors. The purpose of this paper is to achieve multiuser diversity with a small amount of calculation. For this purpose, we propose a user selection algorithm that can improve the orthogonality of a selected user group. We also apply a channel prediction technique to a MIMO-BC system to get more accurate channel information at the transmitter. Simulation results show that the channel prediction can improve the accuracy of channel information for user selections, and the proposed user selection algorithm achieves higher sum rate capacity than the SUS (Semiorthogonal User Selection) algorithm. Also we discuss the setting of the algorithm threshold. As the result of a discussion on the calculation complexity, which uses the number of complex multiplications as the parameter, the proposed algorithm is shown to have a calculation complexity almost equal to that of the SUS algorithm, and they are much lower than that of the optimal user selection algorithm.},
keywords={},
doi={10.1587/transcom.E92.B.2667},
ISSN={1745-1345},
month={August},}
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TY - JOUR
TI - An Improved User Selection Algorithm in Multiuser MIMO Broadcast with Channel Prediction
T2 - IEICE TRANSACTIONS on Communications
SP - 2667
EP - 2674
AU - Zhi MIN
AU - Tomoaki OHTSUKI
PY - 2009
DO - 10.1587/transcom.E92.B.2667
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2009
AB - In multiuser MIMO-BC (Multiple-Input Multiple-Output Broadcasting) systems, user selection is important to achieve multiuser diversity. The optimal user selection algorithm is to try all the combinations of users to find the user group that can achieve the multiuser diversity. Unfortunately, the high calculation cost of the optimal algorithm prevents its implementation. Thus, instead of the optimal algorithm, some suboptimal user selection algorithms were proposed based on semiorthogonality of user channel vectors. The purpose of this paper is to achieve multiuser diversity with a small amount of calculation. For this purpose, we propose a user selection algorithm that can improve the orthogonality of a selected user group. We also apply a channel prediction technique to a MIMO-BC system to get more accurate channel information at the transmitter. Simulation results show that the channel prediction can improve the accuracy of channel information for user selections, and the proposed user selection algorithm achieves higher sum rate capacity than the SUS (Semiorthogonal User Selection) algorithm. Also we discuss the setting of the algorithm threshold. As the result of a discussion on the calculation complexity, which uses the number of complex multiplications as the parameter, the proposed algorithm is shown to have a calculation complexity almost equal to that of the SUS algorithm, and they are much lower than that of the optimal user selection algorithm.
ER -