IEICE TRANSACTIONS on Communications
Performance Evaluation of Low Complexity Digital Beamforming Algorithms by Link-Level Simulations and Outdoor Experimental Trials for 5G Low-SHF-Band Massive MIMO
Summary :
The beamforming (BF) provided by Massive MIMO is a promising technique for the fifth-generation (5G) mobile communication system. In low SHF bands such as 3-6GHz, fully digital Massive MIMO can be a feasible option. Previous works proposed eigenvector zero-forcing (E-ZF) as a digital precoding algorithm to lower the complexity of block diagonalization (BD). On the other hand, another previous work aiming to reduce complexity of BD due to the number of antenna elements proposed digital fixed BF and channel-state-information based precoding (Digital FBCP) with BD whose parameter is the number of beams. Moreover, in order to lower the complexity of the Digital FBCP with BD while retaining the transmission performance, this paper proposes Digital FBCP with E-ZF as a lower complexity digital BF algorithm. The pros and cons of these digital BF algorithms in terms of transmission performance and computational complexity are clarified to select the most appropriate algorithm for the fully digital Massive MIMO. Furthermore, E-ZF can be implemented to 4.5GHz-band fully digital Massive MIMO equipment only when the number of antenna elements is less than or equal to 64, and thus 5G experimental trial employing E-ZF was carried out in Tokyo, Japan where early 5G commercial services will launch. To the best of our knowledge, this was the first outdoor experiment on 4.5GHz-ban Massive MIMO in a dense urban area. An outdoor experiment in a rural area was also carried out. This paper shows both a coverage performance under the single user condition and system throughput performance under a densely deployed four-user condition in the outdoor experimental trials employing the E-ZF algorithm. We reveal that, in the MU-MIMO experiment, the measured system throughput is almost 80% of the maximum system throughput even if users are closely located in the dense urban area thanks to the E-ZF algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.8 pp.1382-1389
- Publication Date
- 2019/08/01
- Publicized
- 2019/02/20
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018TTP0022
- Type of Manuscript
- Special Section PAPER (Special Section on Technology Trials and Proof-of-Concept Activities for 5G and Beyond)
- Category
Authors
Tatsuki OKUYAMA
NTT DOCOMO, INC.
Satoshi SUYAMA
NTT DOCOMO, INC.
Jun MASHINO
NTT DOCOMO, INC.
Kazushi MURAOKA
NTT DOCOMO, INC.
Kohei IZUI
NEC Corporation
Kenichiro YAMAZAKI
NEC Corporation
Yukihiko OKUMURA
NTT DOCOMO, INC.
Keyword
Latest Issue
Copyrights notice of machine-translated contents
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.
Cite this
Copy
Tatsuki OKUYAMA, Satoshi SUYAMA, Jun MASHINO, Kazushi MURAOKA, Kohei IZUI, Kenichiro YAMAZAKI, Yukihiko OKUMURA, "Performance Evaluation of Low Complexity Digital Beamforming Algorithms by Link-Level Simulations and Outdoor Experimental Trials for 5G Low-SHF-Band Massive MIMO" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 8, pp. 1382-1389, August 2019, doi: 10.1587/transcom.2018TTP0022.
Abstract: The beamforming (BF) provided by Massive MIMO is a promising technique for the fifth-generation (5G) mobile communication system. In low SHF bands such as 3-6GHz, fully digital Massive MIMO can be a feasible option. Previous works proposed eigenvector zero-forcing (E-ZF) as a digital precoding algorithm to lower the complexity of block diagonalization (BD). On the other hand, another previous work aiming to reduce complexity of BD due to the number of antenna elements proposed digital fixed BF and channel-state-information based precoding (Digital FBCP) with BD whose parameter is the number of beams. Moreover, in order to lower the complexity of the Digital FBCP with BD while retaining the transmission performance, this paper proposes Digital FBCP with E-ZF as a lower complexity digital BF algorithm. The pros and cons of these digital BF algorithms in terms of transmission performance and computational complexity are clarified to select the most appropriate algorithm for the fully digital Massive MIMO. Furthermore, E-ZF can be implemented to 4.5GHz-band fully digital Massive MIMO equipment only when the number of antenna elements is less than or equal to 64, and thus 5G experimental trial employing E-ZF was carried out in Tokyo, Japan where early 5G commercial services will launch. To the best of our knowledge, this was the first outdoor experiment on 4.5GHz-ban Massive MIMO in a dense urban area. An outdoor experiment in a rural area was also carried out. This paper shows both a coverage performance under the single user condition and system throughput performance under a densely deployed four-user condition in the outdoor experimental trials employing the E-ZF algorithm. We reveal that, in the MU-MIMO experiment, the measured system throughput is almost 80% of the maximum system throughput even if users are closely located in the dense urban area thanks to the E-ZF algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018TTP0022/_p
Copy
@ARTICLE{e102-b_8_1382,
author={Tatsuki OKUYAMA, Satoshi SUYAMA, Jun MASHINO, Kazushi MURAOKA, Kohei IZUI, Kenichiro YAMAZAKI, Yukihiko OKUMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Evaluation of Low Complexity Digital Beamforming Algorithms by Link-Level Simulations and Outdoor Experimental Trials for 5G Low-SHF-Band Massive MIMO},
year={2019},
volume={E102-B},
number={8},
pages={1382-1389},
abstract={The beamforming (BF) provided by Massive MIMO is a promising technique for the fifth-generation (5G) mobile communication system. In low SHF bands such as 3-6GHz, fully digital Massive MIMO can be a feasible option. Previous works proposed eigenvector zero-forcing (E-ZF) as a digital precoding algorithm to lower the complexity of block diagonalization (BD). On the other hand, another previous work aiming to reduce complexity of BD due to the number of antenna elements proposed digital fixed BF and channel-state-information based precoding (Digital FBCP) with BD whose parameter is the number of beams. Moreover, in order to lower the complexity of the Digital FBCP with BD while retaining the transmission performance, this paper proposes Digital FBCP with E-ZF as a lower complexity digital BF algorithm. The pros and cons of these digital BF algorithms in terms of transmission performance and computational complexity are clarified to select the most appropriate algorithm for the fully digital Massive MIMO. Furthermore, E-ZF can be implemented to 4.5GHz-band fully digital Massive MIMO equipment only when the number of antenna elements is less than or equal to 64, and thus 5G experimental trial employing E-ZF was carried out in Tokyo, Japan where early 5G commercial services will launch. To the best of our knowledge, this was the first outdoor experiment on 4.5GHz-ban Massive MIMO in a dense urban area. An outdoor experiment in a rural area was also carried out. This paper shows both a coverage performance under the single user condition and system throughput performance under a densely deployed four-user condition in the outdoor experimental trials employing the E-ZF algorithm. We reveal that, in the MU-MIMO experiment, the measured system throughput is almost 80% of the maximum system throughput even if users are closely located in the dense urban area thanks to the E-ZF algorithm.},
keywords={},
doi={10.1587/transcom.2018TTP0022},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Performance Evaluation of Low Complexity Digital Beamforming Algorithms by Link-Level Simulations and Outdoor Experimental Trials for 5G Low-SHF-Band Massive MIMO
T2 - IEICE TRANSACTIONS on Communications
SP - 1382
EP - 1389
AU - Tatsuki OKUYAMA
AU - Satoshi SUYAMA
AU - Jun MASHINO
AU - Kazushi MURAOKA
AU - Kohei IZUI
AU - Kenichiro YAMAZAKI
AU - Yukihiko OKUMURA
PY - 2019
DO - 10.1587/transcom.2018TTP0022
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2019
AB - The beamforming (BF) provided by Massive MIMO is a promising technique for the fifth-generation (5G) mobile communication system. In low SHF bands such as 3-6GHz, fully digital Massive MIMO can be a feasible option. Previous works proposed eigenvector zero-forcing (E-ZF) as a digital precoding algorithm to lower the complexity of block diagonalization (BD). On the other hand, another previous work aiming to reduce complexity of BD due to the number of antenna elements proposed digital fixed BF and channel-state-information based precoding (Digital FBCP) with BD whose parameter is the number of beams. Moreover, in order to lower the complexity of the Digital FBCP with BD while retaining the transmission performance, this paper proposes Digital FBCP with E-ZF as a lower complexity digital BF algorithm. The pros and cons of these digital BF algorithms in terms of transmission performance and computational complexity are clarified to select the most appropriate algorithm for the fully digital Massive MIMO. Furthermore, E-ZF can be implemented to 4.5GHz-band fully digital Massive MIMO equipment only when the number of antenna elements is less than or equal to 64, and thus 5G experimental trial employing E-ZF was carried out in Tokyo, Japan where early 5G commercial services will launch. To the best of our knowledge, this was the first outdoor experiment on 4.5GHz-ban Massive MIMO in a dense urban area. An outdoor experiment in a rural area was also carried out. This paper shows both a coverage performance under the single user condition and system throughput performance under a densely deployed four-user condition in the outdoor experimental trials employing the E-ZF algorithm. We reveal that, in the MU-MIMO experiment, the measured system throughput is almost 80% of the maximum system throughput even if users are closely located in the dense urban area thanks to the E-ZF algorithm.
ER -
English
