IEICE TRANSACTIONS on Communications
A Study on Dynamic Clustering for Large-Scale Multi-User MIMO Distributed Antenna Systems with Spatial Correlation
Summary :
Distributed antenna systems (DASs) combined with multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have recently attracted significant attention. To establish MU-MIMO DASs that have wide service areas, the use of a dynamic clustering scheme (CS) is necessary to reduce computation in precoding. In the present study, we propose a simple method for dynamic clustering to establish a single cell large-scale MU-MIMO DAS and investigate its performance. We also compare the characteristics of the proposal to those of other schemes such as exhaustive search, traditional location-based adaptive CS, and improved norm-based CS in terms of sum rate improvement. Additionally, to make our results more universal, we further introduce spatial correlation to the considered system. Computer simulation results indicate that the proposed CS for the considered system provides better performance than the existing schemes and can achieve a sum rate close to that of exhaustive search but at a lower computational cost.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.4 pp.928-938
- Publication Date
- 2016/04/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015EBP3353
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Ou ZHAO
Kyoto University
Hidekazu MURATA
Kyoto University
Keyword
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Ou ZHAO, Hidekazu MURATA, "A Study on Dynamic Clustering for Large-Scale Multi-User MIMO Distributed Antenna Systems with Spatial Correlation" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 4, pp. 928-938, April 2016, doi: 10.1587/transcom.2015EBP3353.
Abstract: Distributed antenna systems (DASs) combined with multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have recently attracted significant attention. To establish MU-MIMO DASs that have wide service areas, the use of a dynamic clustering scheme (CS) is necessary to reduce computation in precoding. In the present study, we propose a simple method for dynamic clustering to establish a single cell large-scale MU-MIMO DAS and investigate its performance. We also compare the characteristics of the proposal to those of other schemes such as exhaustive search, traditional location-based adaptive CS, and improved norm-based CS in terms of sum rate improvement. Additionally, to make our results more universal, we further introduce spatial correlation to the considered system. Computer simulation results indicate that the proposed CS for the considered system provides better performance than the existing schemes and can achieve a sum rate close to that of exhaustive search but at a lower computational cost.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3353/_p
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@ARTICLE{e99-b_4_928,
author={Ou ZHAO, Hidekazu MURATA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Study on Dynamic Clustering for Large-Scale Multi-User MIMO Distributed Antenna Systems with Spatial Correlation},
year={2016},
volume={E99-B},
number={4},
pages={928-938},
abstract={Distributed antenna systems (DASs) combined with multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have recently attracted significant attention. To establish MU-MIMO DASs that have wide service areas, the use of a dynamic clustering scheme (CS) is necessary to reduce computation in precoding. In the present study, we propose a simple method for dynamic clustering to establish a single cell large-scale MU-MIMO DAS and investigate its performance. We also compare the characteristics of the proposal to those of other schemes such as exhaustive search, traditional location-based adaptive CS, and improved norm-based CS in terms of sum rate improvement. Additionally, to make our results more universal, we further introduce spatial correlation to the considered system. Computer simulation results indicate that the proposed CS for the considered system provides better performance than the existing schemes and can achieve a sum rate close to that of exhaustive search but at a lower computational cost.},
keywords={},
doi={10.1587/transcom.2015EBP3353},
ISSN={1745-1345},
month={April},}
Copy
TY - JOUR
TI - A Study on Dynamic Clustering for Large-Scale Multi-User MIMO Distributed Antenna Systems with Spatial Correlation
T2 - IEICE TRANSACTIONS on Communications
SP - 928
EP - 938
AU - Ou ZHAO
AU - Hidekazu MURATA
PY - 2016
DO - 10.1587/transcom.2015EBP3353
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2016
AB - Distributed antenna systems (DASs) combined with multi-user multiple-input multiple-output (MU-MIMO) transmission techniques have recently attracted significant attention. To establish MU-MIMO DASs that have wide service areas, the use of a dynamic clustering scheme (CS) is necessary to reduce computation in precoding. In the present study, we propose a simple method for dynamic clustering to establish a single cell large-scale MU-MIMO DAS and investigate its performance. We also compare the characteristics of the proposal to those of other schemes such as exhaustive search, traditional location-based adaptive CS, and improved norm-based CS in terms of sum rate improvement. Additionally, to make our results more universal, we further introduce spatial correlation to the considered system. Computer simulation results indicate that the proposed CS for the considered system provides better performance than the existing schemes and can achieve a sum rate close to that of exhaustive search but at a lower computational cost.
ER -
English
