Two-Step User Selection Algorithm in Multi-User Massive MIMO with Hybrid Beamforming for 5G Evolution
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E104-B No.9 pp.1089-1096
- Publication Date
- 2021/09/01
- Publicized
- 2021/04/07
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2020FGT0002
- Type of Manuscript
- Special Section PAPER (Special Section on Technology Trials and Proof-of-Concept Activities for 5G Evolution and Beyond)
- Category
Authors
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.
Keyword
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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
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@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},}
Copy
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 -
English
