IEICE TRANSACTIONS on Communications
A Novel Low Complexity Scheme for Multiuser Massive MIMO Systems
Summary :
In this paper, we propose a novel user selection scheme based on jointly combining channel gain (CG) and signal to interference plus noise ratio (SINR) to improve the sum-rate as well as to reduce the computation complexity of multi-user massive multi-input multi-output (MU-massive MIMO) downlink transmission through a block diagonalization (BD) precoding technique. By jointly considering CG and SINR based user sets, sum-rate performance improvement can be achieved by selecting higher gain users with better SINR conditions as well as by eliminating the users who cause low sum-rate in the system. Through this approach, the number of possible outcomes for the user selection scheme can be reduced by counting the common users for every pair of user combinations in the selection process since the common users of CG-based and SINR-based sets possess both higher channel gains and better SINR conditions. The common users set offers not only sum-rate performance improvements but also computation complexity reduction in the proposed scheme. It is shown by means of computer simulation experiments that the proposed scheme can increase the sum-rate with lower computation complexity for various numbers of users as compared to conventional schemes requiring the same or less computational complexity.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E105-B No.1 pp.85-96
- Publication Date
- 2022/01/01
- Publicized
- 2021/07/01
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2021EBP3039
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Aye Mon HTUN
Keio University
Maung SANN MAW
Keio University
Iwao SASASE
Keio University
P. Takis MATHIOPOULOS
National and Kapodistrian University of Athens
Keyword
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Aye Mon HTUN, Maung SANN MAW, Iwao SASASE, P. Takis MATHIOPOULOS, "A Novel Low Complexity Scheme for Multiuser Massive MIMO Systems" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 1, pp. 85-96, January 2022, doi: 10.1587/transcom.2021EBP3039.
Abstract: In this paper, we propose a novel user selection scheme based on jointly combining channel gain (CG) and signal to interference plus noise ratio (SINR) to improve the sum-rate as well as to reduce the computation complexity of multi-user massive multi-input multi-output (MU-massive MIMO) downlink transmission through a block diagonalization (BD) precoding technique. By jointly considering CG and SINR based user sets, sum-rate performance improvement can be achieved by selecting higher gain users with better SINR conditions as well as by eliminating the users who cause low sum-rate in the system. Through this approach, the number of possible outcomes for the user selection scheme can be reduced by counting the common users for every pair of user combinations in the selection process since the common users of CG-based and SINR-based sets possess both higher channel gains and better SINR conditions. The common users set offers not only sum-rate performance improvements but also computation complexity reduction in the proposed scheme. It is shown by means of computer simulation experiments that the proposed scheme can increase the sum-rate with lower computation complexity for various numbers of users as compared to conventional schemes requiring the same or less computational complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBP3039/_p
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@ARTICLE{e105-b_1_85,
author={Aye Mon HTUN, Maung SANN MAW, Iwao SASASE, P. Takis MATHIOPOULOS, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Low Complexity Scheme for Multiuser Massive MIMO Systems},
year={2022},
volume={E105-B},
number={1},
pages={85-96},
abstract={In this paper, we propose a novel user selection scheme based on jointly combining channel gain (CG) and signal to interference plus noise ratio (SINR) to improve the sum-rate as well as to reduce the computation complexity of multi-user massive multi-input multi-output (MU-massive MIMO) downlink transmission through a block diagonalization (BD) precoding technique. By jointly considering CG and SINR based user sets, sum-rate performance improvement can be achieved by selecting higher gain users with better SINR conditions as well as by eliminating the users who cause low sum-rate in the system. Through this approach, the number of possible outcomes for the user selection scheme can be reduced by counting the common users for every pair of user combinations in the selection process since the common users of CG-based and SINR-based sets possess both higher channel gains and better SINR conditions. The common users set offers not only sum-rate performance improvements but also computation complexity reduction in the proposed scheme. It is shown by means of computer simulation experiments that the proposed scheme can increase the sum-rate with lower computation complexity for various numbers of users as compared to conventional schemes requiring the same or less computational complexity.},
keywords={},
doi={10.1587/transcom.2021EBP3039},
ISSN={1745-1345},
month={January},}
Copy
TY - JOUR
TI - A Novel Low Complexity Scheme for Multiuser Massive MIMO Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 85
EP - 96
AU - Aye Mon HTUN
AU - Maung SANN MAW
AU - Iwao SASASE
AU - P. Takis MATHIOPOULOS
PY - 2022
DO - 10.1587/transcom.2021EBP3039
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2022
AB - In this paper, we propose a novel user selection scheme based on jointly combining channel gain (CG) and signal to interference plus noise ratio (SINR) to improve the sum-rate as well as to reduce the computation complexity of multi-user massive multi-input multi-output (MU-massive MIMO) downlink transmission through a block diagonalization (BD) precoding technique. By jointly considering CG and SINR based user sets, sum-rate performance improvement can be achieved by selecting higher gain users with better SINR conditions as well as by eliminating the users who cause low sum-rate in the system. Through this approach, the number of possible outcomes for the user selection scheme can be reduced by counting the common users for every pair of user combinations in the selection process since the common users of CG-based and SINR-based sets possess both higher channel gains and better SINR conditions. The common users set offers not only sum-rate performance improvements but also computation complexity reduction in the proposed scheme. It is shown by means of computer simulation experiments that the proposed scheme can increase the sum-rate with lower computation complexity for various numbers of users as compared to conventional schemes requiring the same or less computational complexity.
ER -
English
