IEICE TRANSACTIONS on Communications
Joint MMSE Vector Precoding Based on GMD Method for MIMO Systems
Summary :
We propose a geometric mean decomposition (GMD) based vector precoding (VP) for multiple input multiple output (MIMO) systems. Minimum mean square error (MMSE) criterion is used for the joint VP design. The application of GMD method eliminates the imbalance among subchannel gains and obtains a better perturbation vector than the conventional method. We then exploit the extended channel matrix for further performance improvement. Simulation results show the proposed schemes significantly outperform the existing VP schemes.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E90-B No.9 pp.2617-2620
- Publication Date
- 2007/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e90-b.9.2617
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Feng LIU, Ling-ge JIANG, Chen HE, "Joint MMSE Vector Precoding Based on GMD Method for MIMO Systems" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 9, pp. 2617-2620, September 2007, doi: 10.1093/ietcom/e90-b.9.2617.
Abstract: We propose a geometric mean decomposition (GMD) based vector precoding (VP) for multiple input multiple output (MIMO) systems. Minimum mean square error (MMSE) criterion is used for the joint VP design. The application of GMD method eliminates the imbalance among subchannel gains and obtains a better perturbation vector than the conventional method. We then exploit the extended channel matrix for further performance improvement. Simulation results show the proposed schemes significantly outperform the existing VP schemes.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.9.2617/_p
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@ARTICLE{e90-b_9_2617,
author={Feng LIU, Ling-ge JIANG, Chen HE, },
journal={IEICE TRANSACTIONS on Communications},
title={Joint MMSE Vector Precoding Based on GMD Method for MIMO Systems},
year={2007},
volume={E90-B},
number={9},
pages={2617-2620},
abstract={We propose a geometric mean decomposition (GMD) based vector precoding (VP) for multiple input multiple output (MIMO) systems. Minimum mean square error (MMSE) criterion is used for the joint VP design. The application of GMD method eliminates the imbalance among subchannel gains and obtains a better perturbation vector than the conventional method. We then exploit the extended channel matrix for further performance improvement. Simulation results show the proposed schemes significantly outperform the existing VP schemes.},
keywords={},
doi={10.1093/ietcom/e90-b.9.2617},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - Joint MMSE Vector Precoding Based on GMD Method for MIMO Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2617
EP - 2620
AU - Feng LIU
AU - Ling-ge JIANG
AU - Chen HE
PY - 2007
DO - 10.1093/ietcom/e90-b.9.2617
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2007
AB - We propose a geometric mean decomposition (GMD) based vector precoding (VP) for multiple input multiple output (MIMO) systems. Minimum mean square error (MMSE) criterion is used for the joint VP design. The application of GMD method eliminates the imbalance among subchannel gains and obtains a better perturbation vector than the conventional method. We then exploit the extended channel matrix for further performance improvement. Simulation results show the proposed schemes significantly outperform the existing VP schemes.
ER -
English
