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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Afin d'obtenir des débits binaires plus élevés par rapport au système de communication mobile de cinquième génération (5G), des technologies MIMO massives dans des bandes de fréquences plus élevées avec une bande passante plus large sont étudiées pour l'évolution de la 5G et de la 6G. L'une des méthodes pratiques pour réaliser un MIMO massif dans les bandes hautes fréquences est la formation de faisceaux hybrides (BF). Avec cette approche, la sélection des utilisateurs est une fonction importante car ses performances sont fortement affectées par les interférences entre utilisateurs. Cependant, la complexité informatique de la sélection des utilisateurs dans le MIMO massif multi-utilisateurs est élevée en raison de la taille excessive de la matrice de canaux MIMO. De plus, satisfaire aux critères d'équité proportionnelle (PF) conduit à une augmentation supplémentaire de la complexité car un recalcul des matrices de précodage et de postcodage est requis pour chaque combinaison d'utilisateurs sélectionnés. Pour réaliser un algorithme de sélection d'utilisateur juste et peu complexe pour un MIMO massif multi-utilisateurs utilisant un BF hybride, cet article propose un algorithme de sélection d'utilisateur en deux étapes qui combine la sélection d'utilisateur basée sur PF et la sélection d'utilisateur à distance de corde. Les simulations informatiques montrent que l'algorithme de sélection d'utilisateur en deux étapes proposé, avec une plus grande équité pour l'utilisateur et une moindre complexité de calcul, peut atteindre des performances système supérieures à celles des algorithmes de sélection d'utilisateur conventionnels.
Nobuhide NONAKA
NTT DOCOMO, INC.
Satoshi SUYAMA
NTT DOCOMO, INC.
Tatsuki OKUYAMA
NTT DOCOMO, INC.
Kazushi MURAOKA
NTT DOCOMO, INC.
Yukihiko OKUMURA
NTT DOCOMO, INC.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copier
Nobuhide NONAKA, Satoshi SUYAMA, Tatsuki OKUYAMA, Kazushi MURAOKA, Yukihiko OKUMURA, "Two-Step User Selection Algorithm in Multi-User Massive MIMO with Hybrid Beamforming for 5G Evolution" in IEICE TRANSACTIONS on Communications,
vol. E104-B, no. 9, pp. 1089-1096, September 2021, doi: 10.1587/transcom.2020FGT0002.
Abstract: In order to realize the higher bit rates compared for the fifth-generation (5G) mobile communication system, massive MIMO technologies in higher frequency bands with wider bandwidth are being investigated for 5G evolution and 6G. One of practical method to realize massive MIMO in the high frequency bands is hybrid beamforming (BF). With this approach, user selection is an important function because its performance is highly affected by inter-user interference. However, the computational complexity of user selection in multi-user massive MIMO is high because MIMO channel matrix size excessive. Furthermore, satisfying user fairness by proportional fairness (PF) criteria leads to further increase of the complexity because re-calculation of precoding and postcoding matrices is required for each combination of selected users. To realize a fair and low-complexity user selection algorithm for multi-user massive MIMO employing hybrid BF, this paper proposes a two-step user selection algorithm that combines PF based user selection and chordal distance user selection. Computer simulations show that the proposed two-step user selection algorithm with higher user fairness and lower computational complexity can achieve higher system performance than the conventional user selection algorithms.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020FGT0002/_p
Copier
@ARTICLE{e104-b_9_1089,
author={Nobuhide NONAKA, Satoshi SUYAMA, Tatsuki OKUYAMA, Kazushi MURAOKA, Yukihiko OKUMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Two-Step User Selection Algorithm in Multi-User Massive MIMO with Hybrid Beamforming for 5G Evolution},
year={2021},
volume={E104-B},
number={9},
pages={1089-1096},
abstract={In order to realize the higher bit rates compared for the fifth-generation (5G) mobile communication system, massive MIMO technologies in higher frequency bands with wider bandwidth are being investigated for 5G evolution and 6G. One of practical method to realize massive MIMO in the high frequency bands is hybrid beamforming (BF). With this approach, user selection is an important function because its performance is highly affected by inter-user interference. However, the computational complexity of user selection in multi-user massive MIMO is high because MIMO channel matrix size excessive. Furthermore, satisfying user fairness by proportional fairness (PF) criteria leads to further increase of the complexity because re-calculation of precoding and postcoding matrices is required for each combination of selected users. To realize a fair and low-complexity user selection algorithm for multi-user massive MIMO employing hybrid BF, this paper proposes a two-step user selection algorithm that combines PF based user selection and chordal distance user selection. Computer simulations show that the proposed two-step user selection algorithm with higher user fairness and lower computational complexity can achieve higher system performance than the conventional user selection algorithms.},
keywords={},
doi={10.1587/transcom.2020FGT0002},
ISSN={1745-1345},
month={September},}
Copier
TY - JOUR
TI - Two-Step User Selection Algorithm in Multi-User Massive MIMO with Hybrid Beamforming for 5G Evolution
T2 - IEICE TRANSACTIONS on Communications
SP - 1089
EP - 1096
AU - Nobuhide NONAKA
AU - Satoshi SUYAMA
AU - Tatsuki OKUYAMA
AU - Kazushi MURAOKA
AU - Yukihiko OKUMURA
PY - 2021
DO - 10.1587/transcom.2020FGT0002
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E104-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2021
AB - In order to realize the higher bit rates compared for the fifth-generation (5G) mobile communication system, massive MIMO technologies in higher frequency bands with wider bandwidth are being investigated for 5G evolution and 6G. One of practical method to realize massive MIMO in the high frequency bands is hybrid beamforming (BF). With this approach, user selection is an important function because its performance is highly affected by inter-user interference. However, the computational complexity of user selection in multi-user massive MIMO is high because MIMO channel matrix size excessive. Furthermore, satisfying user fairness by proportional fairness (PF) criteria leads to further increase of the complexity because re-calculation of precoding and postcoding matrices is required for each combination of selected users. To realize a fair and low-complexity user selection algorithm for multi-user massive MIMO employing hybrid BF, this paper proposes a two-step user selection algorithm that combines PF based user selection and chordal distance user selection. Computer simulations show that the proposed two-step user selection algorithm with higher user fairness and lower computational complexity can achieve higher system performance than the conventional user selection algorithms.
ER -