IEICE TRANSACTIONS on Communications
A Reduced Complexity Quantization Error Correction Method for Lattice Reduction Aided Vector Precoding
Summary :
A reduced complexity quantization error correction method for lattice reduction aided (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E92-B No.7 pp.2525-2528
- Publication Date
- 2009/07/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E92.B.2525
- Type of Manuscript
- LETTER
- Category
- Wireless Communication Technologies
Authors
Keyword
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Xuan GENG , Ling-ge JIANG, Chen HE, "A Reduced Complexity Quantization Error Correction Method for Lattice Reduction Aided Vector Precoding" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 7, pp. 2525-2528, July 2009, doi: 10.1587/transcom.E92.B.2525.
Abstract: A reduced complexity quantization error correction method for lattice reduction aided (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2525/_p
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@ARTICLE{e92-b_7_2525,
author={Xuan GENG , Ling-ge JIANG, Chen HE, },
journal={IEICE TRANSACTIONS on Communications},
title={A Reduced Complexity Quantization Error Correction Method for Lattice Reduction Aided Vector Precoding},
year={2009},
volume={E92-B},
number={7},
pages={2525-2528},
abstract={A reduced complexity quantization error correction method for lattice reduction aided (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.},
keywords={},
doi={10.1587/transcom.E92.B.2525},
ISSN={1745-1345},
month={July},}
Copy
TY - JOUR
TI - A Reduced Complexity Quantization Error Correction Method for Lattice Reduction Aided Vector Precoding
T2 - IEICE TRANSACTIONS on Communications
SP - 2525
EP - 2528
AU - Xuan GENG
AU - Ling-ge JIANG
AU - Chen HE
PY - 2009
DO - 10.1587/transcom.E92.B.2525
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2009
AB - A reduced complexity quantization error correction method for lattice reduction aided (LRA) vector precoding is proposed. For LRA vector precoding,Babai's approximation procedure can generate quantization errors leading to performance loss. Instead of making a list to correct all possible errors as is done in the existing scheme, we propose a novel method in which only a subset of all possible errors are corrected. The size of the subset is determined by the probability distribution of the number of actual errors. Thus, the computation complexity of our correction procedure is reduced with little performance loss compared with the existing correction scheme.
ER -
English
