IEICE TRANSACTIONS on Communications
Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding
Summary :
In this paper, we propose an overloaded multiple-input multiple-output (MIMO) signal detection scheme with slab decoding and lattice reduction (LR). The proposed scheme firstly splits the transmitted signal vector into two parts, the post-voting vector composed of the same number of signal elements as that of receive antennas, and the pre-voting vector composed of the remaining elements. Secondly, it reduces the candidates of the pre-voting vector using slab decoding and determines the post-voting vectors for each pre-voting vector candidate by LR-aided minimum mean square error (MMSE)-successive interference cancellation (SIC) detection. From the performance analysis of the proposed scheme, we derive an upper bound of the error probability and show that it can achieve the full diversity order. Simulation results show that the proposed scheme can achieve almost the same performance as the optimal ML detection while reducing the required computational complexity.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.8 pp.1697-1705
- Publication Date
- 2016/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015CCP0014
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Information and Communication Technologies and Services in Conjunction with Main Topics of APCC2015)
- Category
- Wireless Communication Technologies
Authors
Ryo HAYAKAWA
Kyoto University
Kazunori HAYASHI
Kyoto University
Megumi KANEKO
the National Institute of Informatics
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
Ryo HAYAKAWA, Kazunori HAYASHI, Megumi KANEKO, "Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 8, pp. 1697-1705, August 2016, doi: 10.1587/transcom.2015CCP0014.
Abstract: In this paper, we propose an overloaded multiple-input multiple-output (MIMO) signal detection scheme with slab decoding and lattice reduction (LR). The proposed scheme firstly splits the transmitted signal vector into two parts, the post-voting vector composed of the same number of signal elements as that of receive antennas, and the pre-voting vector composed of the remaining elements. Secondly, it reduces the candidates of the pre-voting vector using slab decoding and determines the post-voting vectors for each pre-voting vector candidate by LR-aided minimum mean square error (MMSE)-successive interference cancellation (SIC) detection. From the performance analysis of the proposed scheme, we derive an upper bound of the error probability and show that it can achieve the full diversity order. Simulation results show that the proposed scheme can achieve almost the same performance as the optimal ML detection while reducing the required computational complexity.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015CCP0014/_p
Copy
@ARTICLE{e99-b_8_1697,
author={Ryo HAYAKAWA, Kazunori HAYASHI, Megumi KANEKO, },
journal={IEICE TRANSACTIONS on Communications},
title={Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding},
year={2016},
volume={E99-B},
number={8},
pages={1697-1705},
abstract={In this paper, we propose an overloaded multiple-input multiple-output (MIMO) signal detection scheme with slab decoding and lattice reduction (LR). The proposed scheme firstly splits the transmitted signal vector into two parts, the post-voting vector composed of the same number of signal elements as that of receive antennas, and the pre-voting vector composed of the remaining elements. Secondly, it reduces the candidates of the pre-voting vector using slab decoding and determines the post-voting vectors for each pre-voting vector candidate by LR-aided minimum mean square error (MMSE)-successive interference cancellation (SIC) detection. From the performance analysis of the proposed scheme, we derive an upper bound of the error probability and show that it can achieve the full diversity order. Simulation results show that the proposed scheme can achieve almost the same performance as the optimal ML detection while reducing the required computational complexity.},
keywords={},
doi={10.1587/transcom.2015CCP0014},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Lattice Reduction-Aided Detection for Overloaded MIMO Using Slab Decoding
T2 - IEICE TRANSACTIONS on Communications
SP - 1697
EP - 1705
AU - Ryo HAYAKAWA
AU - Kazunori HAYASHI
AU - Megumi KANEKO
PY - 2016
DO - 10.1587/transcom.2015CCP0014
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2016
AB - In this paper, we propose an overloaded multiple-input multiple-output (MIMO) signal detection scheme with slab decoding and lattice reduction (LR). The proposed scheme firstly splits the transmitted signal vector into two parts, the post-voting vector composed of the same number of signal elements as that of receive antennas, and the pre-voting vector composed of the remaining elements. Secondly, it reduces the candidates of the pre-voting vector using slab decoding and determines the post-voting vectors for each pre-voting vector candidate by LR-aided minimum mean square error (MMSE)-successive interference cancellation (SIC) detection. From the performance analysis of the proposed scheme, we derive an upper bound of the error probability and show that it can achieve the full diversity order. Simulation results show that the proposed scheme can achieve almost the same performance as the optimal ML detection while reducing the required computational complexity.
ER -
English
