Efficient soft-output lattice-reduction-Aided MIMO detector with low complexity

Hyunsub Kim; Jaeseok Kim

doi:10.1587/transcom.2016EBP3397

Efficient soft-output lattice-reduction-Aided MIMO detector with low complexity

Hyunsub Kim, Jaeseok Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, an improved lattice reduction (LR)-Aided soft-output multiple-input multiple-output (MIMO) detector is proposed. Conventional LR-Aided soft-output MIMO detectors involve the empty set problem (ESP), in which an entry with a particular bit in the candidate list might not exist. To overcome the performance degradation resulting from this ESP, a post-processing algorithm that modifies the candidate list is proposed. The proposed algorithm efficiently resolves the ESP by utilizing the near-orthogonality of the lattice-reduced system model so that the bit error rate (BER) performance is enhanced. In addition, as the complexity of the candidate list generation is reduced with the aid of the post-processing algorithm, the overall complexity is also reduced. Simulation results and the complexity comparisons demonstrate that our proposed method lowers the required E^b=N_o by 4-5 dB at the BER of 10^-5 and the complexity by 13%-55%, compared to the conventional method.

Original language	English
Pages (from-to)	1952-1958
Number of pages	7
Journal	IEICE Transactions on Communications
Volume	E100B
Issue number	10
DOIs	https://doi.org/10.1587/transcom.2016EBP3397
Publication status	Published - 2017 Oct

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2015R1A2A2A01004883).

Publisher Copyright:
© 2017 The Institute of Electronics, Information and Communication Engineers.

All Science Journal Classification (ASJC) codes

Software
Computer Networks and Communications
Electrical and Electronic Engineering

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10.1587/transcom.2016EBP3397

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title = "Efficient soft-output lattice-reduction-Aided MIMO detector with low complexity",

abstract = "In this paper, an improved lattice reduction (LR)-Aided soft-output multiple-input multiple-output (MIMO) detector is proposed. Conventional LR-Aided soft-output MIMO detectors involve the empty set problem (ESP), in which an entry with a particular bit in the candidate list might not exist. To overcome the performance degradation resulting from this ESP, a post-processing algorithm that modifies the candidate list is proposed. The proposed algorithm efficiently resolves the ESP by utilizing the near-orthogonality of the lattice-reduced system model so that the bit error rate (BER) performance is enhanced. In addition, as the complexity of the candidate list generation is reduced with the aid of the post-processing algorithm, the overall complexity is also reduced. Simulation results and the complexity comparisons demonstrate that our proposed method lowers the required Eb=No by 4-5 dB at the BER of 10-5 and the complexity by 13%-55%, compared to the conventional method.",

author = "Hyunsub Kim and Jaeseok Kim",

note = "Funding Information: This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. NRF-2015R1A2A2A01004883). Publisher Copyright: {\textcopyright} 2017 The Institute of Electronics, Information and Communication Engineers.",

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N2 - In this paper, an improved lattice reduction (LR)-Aided soft-output multiple-input multiple-output (MIMO) detector is proposed. Conventional LR-Aided soft-output MIMO detectors involve the empty set problem (ESP), in which an entry with a particular bit in the candidate list might not exist. To overcome the performance degradation resulting from this ESP, a post-processing algorithm that modifies the candidate list is proposed. The proposed algorithm efficiently resolves the ESP by utilizing the near-orthogonality of the lattice-reduced system model so that the bit error rate (BER) performance is enhanced. In addition, as the complexity of the candidate list generation is reduced with the aid of the post-processing algorithm, the overall complexity is also reduced. Simulation results and the complexity comparisons demonstrate that our proposed method lowers the required Eb=No by 4-5 dB at the BER of 10-5 and the complexity by 13%-55%, compared to the conventional method.

AB - In this paper, an improved lattice reduction (LR)-Aided soft-output multiple-input multiple-output (MIMO) detector is proposed. Conventional LR-Aided soft-output MIMO detectors involve the empty set problem (ESP), in which an entry with a particular bit in the candidate list might not exist. To overcome the performance degradation resulting from this ESP, a post-processing algorithm that modifies the candidate list is proposed. The proposed algorithm efficiently resolves the ESP by utilizing the near-orthogonality of the lattice-reduced system model so that the bit error rate (BER) performance is enhanced. In addition, as the complexity of the candidate list generation is reduced with the aid of the post-processing algorithm, the overall complexity is also reduced. Simulation results and the complexity comparisons demonstrate that our proposed method lowers the required Eb=No by 4-5 dB at the BER of 10-5 and the complexity by 13%-55%, compared to the conventional method.

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Efficient soft-output lattice-reduction-Aided MIMO detector with low complexity

Abstract

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