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A Novel Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO
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Summary :
This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). We theoretically analyze the performance of the proposed receiver that the lattice reduction raises the SNR of the detector output signals as the scalar gain increases, when the Lenstra-Lenstra-Lova's (LLL) algorithm is applied to implement the lattice reduction. Because the SNR improvement causes the scalar gain to increase, the performance is improved by iterating the reception process. Computer simulations confirm the performance. The proposed receiver attains a gain of about 5dB at the BER of 10-4 in a 6×2 overloaded MIMO channel. Computational complexity of the proposed receiver is about 1/50 as much as that of the maximum likelihood detection (MLD).
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.5 pp.1045-1054
- Publication Date
- 2019/05/01
- Publicized
- 2018/11/21
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018EBP3215
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Satoshi DENNO
Okayama University
Yuta KAWAGUCHI
Okayama University
Tsubasa INOUE
Okayama University
Yafei HOU
Okayama University
Keyword
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Satoshi DENNO, Yuta KAWAGUCHI, Tsubasa INOUE, Yafei HOU, "A Novel Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 5, pp. 1045-1054, May 2019, doi: 10.1587/transcom.2018EBP3215.
Abstract: This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). We theoretically analyze the performance of the proposed receiver that the lattice reduction raises the SNR of the detector output signals as the scalar gain increases, when the Lenstra-Lenstra-Lova's (LLL) algorithm is applied to implement the lattice reduction. Because the SNR improvement causes the scalar gain to increase, the performance is improved by iterating the reception process. Computer simulations confirm the performance. The proposed receiver attains a gain of about 5dB at the BER of 10-4 in a 6×2 overloaded MIMO channel. Computational complexity of the proposed receiver is about 1/50 as much as that of the maximum likelihood detection (MLD).
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3215/_p
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@ARTICLE{e102-b_5_1045,
author={Satoshi DENNO, Yuta KAWAGUCHI, Tsubasa INOUE, Yafei HOU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO},
year={2019},
volume={E102-B},
number={5},
pages={1045-1054},
abstract={This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). We theoretically analyze the performance of the proposed receiver that the lattice reduction raises the SNR of the detector output signals as the scalar gain increases, when the Lenstra-Lenstra-Lova's (LLL) algorithm is applied to implement the lattice reduction. Because the SNR improvement causes the scalar gain to increase, the performance is improved by iterating the reception process. Computer simulations confirm the performance. The proposed receiver attains a gain of about 5dB at the BER of 10-4 in a 6×2 overloaded MIMO channel. Computational complexity of the proposed receiver is about 1/50 as much as that of the maximum likelihood detection (MLD).},
keywords={},
doi={10.1587/transcom.2018EBP3215},
ISSN={1745-1345},
month={May},}
Copy
TY - JOUR
TI - A Novel Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO
T2 - IEICE TRANSACTIONS on Communications
SP - 1045
EP - 1054
AU - Satoshi DENNO
AU - Yuta KAWAGUCHI
AU - Tsubasa INOUE
AU - Yafei HOU
PY - 2019
DO - 10.1587/transcom.2018EBP3215
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 5
JA - IEICE TRANSACTIONS on Communications
Y1 - May 2019
AB - This paper proposes a novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO. Novel noise cancellation is proposed that increases an equivalent channel gain with a scalar gain introduced in this paper, which results in the improvement of the signal to noise power ratio (SNR). We theoretically analyze the performance of the proposed receiver that the lattice reduction raises the SNR of the detector output signals as the scalar gain increases, when the Lenstra-Lenstra-Lova's (LLL) algorithm is applied to implement the lattice reduction. Because the SNR improvement causes the scalar gain to increase, the performance is improved by iterating the reception process. Computer simulations confirm the performance. The proposed receiver attains a gain of about 5dB at the BER of 10-4 in a 6×2 overloaded MIMO channel. Computational complexity of the proposed receiver is about 1/50 as much as that of the maximum likelihood detection (MLD).
ER -
English
