Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems

Goodwell Kapfunde; Oluyomi Simpson; Yichuang Sun

doi:10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045

Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems

Goodwell Kapfunde, Oluyomi Simpson, Yichuang Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

The LRAD-MMSE-SIC-SE-SD (Lattice Reduction Aided Detection - Minimum Mean Squared Error-Successive Interference Cancellation - Schnorr Euchner - Sphere Decoder) detection scheme that introduces a trade-off between performance and computational complexity is proposed for Multiple-Input Multiple-Output (MIMO) in this paper. The Lenstra-Lenstra-Lovász (LLL) algorithm is employed to orthogonalise the channel matrix by transforming the signal space of the received signal into an equivalent reduced signal space. A novel Lattice Reduction aided SE-SD probing for the Closest Lattice Point in the transformed reduced signal space is hereby proposed. Correspondingly, the computational complexity of the proposed LRAD-MMSE-SIC-SE-SD detection scheme is independent of the constellation size while it is polynomial with reference to the number of antennas, and signal-to-noise-ratio (SNR). Performance results of the detection scheme indicate that SD complexity is significantly reduced at only marginal performance penalty.

Original language	English
Title of host publication	2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)
Place of Publication	London, United Kingdom
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	216-223
Number of pages	8
ISBN (Electronic)	978-1-6654-6667-7
ISBN (Print)	978-1-6654-6668-4
DOIs	https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045
Publication status	Published - 3 Mar 2022
Event	2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) - Online, London, United Kingdom Duration: 20 Dec 2021 → 22 Dec 2021 https://ieeexplore.ieee.org/xpl/conhome/9719586/proceeding

Conference

Conference	2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)
Abbreviated title	CIT-2021
Country/Territory	United Kingdom
City	London
Period	20/12/21 → 22/12/21
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9719586/proceeding

Keywords

MIMO
Sphere Decoder
Detection
MMSE
SIC

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10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045Licence: Unspecified

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© 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045
Accepted author manuscript, 466 KBLicence: Unspecified

Cite this

Kapfunde, G., Simpson, O., & Sun, Y. (2022). Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. In 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS) (pp. 216-223). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045

Kapfunde, Goodwell ; Simpson, Oluyomi ; Sun, Yichuang. / Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS). London, United Kingdom : Institute of Electrical and Electronics Engineers (IEEE), 2022. pp. 216-223

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abstract = "The LRAD-MMSE-SIC-SE-SD (Lattice Reduction Aided Detection - Minimum Mean Squared Error-Successive Interference Cancellation - Schnorr Euchner - Sphere Decoder) detection scheme that introduces a trade-off between performance and computational complexity is proposed for Multiple-Input Multiple-Output (MIMO) in this paper. The Lenstra-Lenstra-Lov{\'a}sz (LLL) algorithm is employed to orthogonalise the channel matrix by transforming the signal space of the received signal into an equivalent reduced signal space. A novel Lattice Reduction aided SE-SD probing for the Closest Lattice Point in the transformed reduced signal space is hereby proposed. Correspondingly, the computational complexity of the proposed LRAD-MMSE-SIC-SE-SD detection scheme is independent of the constellation size while it is polynomial with reference to the number of antennas, and signal-to-noise-ratio (SNR). Performance results of the detection scheme indicate that SD complexity is significantly reduced at only marginal performance penalty.",

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Kapfunde, G, Simpson, O & Sun, Y 2022, Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. in 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS). Institute of Electrical and Electronics Engineers (IEEE), London, United Kingdom, pp. 216-223, 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS), London, United Kingdom, 20/12/21. https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045

Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. / Kapfunde, Goodwell; Simpson, Oluyomi ; Sun, Yichuang.
2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS). London, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE), 2022. p. 216-223.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kapfunde, Goodwell

AU - Simpson, Oluyomi

AU - Sun, Yichuang

N1 - © 2021, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This is the accepted manuscript version of a conference paper which has been published in final form at https://doi.org/10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045

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N2 - The LRAD-MMSE-SIC-SE-SD (Lattice Reduction Aided Detection - Minimum Mean Squared Error-Successive Interference Cancellation - Schnorr Euchner - Sphere Decoder) detection scheme that introduces a trade-off between performance and computational complexity is proposed for Multiple-Input Multiple-Output (MIMO) in this paper. The Lenstra-Lenstra-Lovász (LLL) algorithm is employed to orthogonalise the channel matrix by transforming the signal space of the received signal into an equivalent reduced signal space. A novel Lattice Reduction aided SE-SD probing for the Closest Lattice Point in the transformed reduced signal space is hereby proposed. Correspondingly, the computational complexity of the proposed LRAD-MMSE-SIC-SE-SD detection scheme is independent of the constellation size while it is polynomial with reference to the number of antennas, and signal-to-noise-ratio (SNR). Performance results of the detection scheme indicate that SD complexity is significantly reduced at only marginal performance penalty.

AB - The LRAD-MMSE-SIC-SE-SD (Lattice Reduction Aided Detection - Minimum Mean Squared Error-Successive Interference Cancellation - Schnorr Euchner - Sphere Decoder) detection scheme that introduces a trade-off between performance and computational complexity is proposed for Multiple-Input Multiple-Output (MIMO) in this paper. The Lenstra-Lenstra-Lovász (LLL) algorithm is employed to orthogonalise the channel matrix by transforming the signal space of the received signal into an equivalent reduced signal space. A novel Lattice Reduction aided SE-SD probing for the Closest Lattice Point in the transformed reduced signal space is hereby proposed. Correspondingly, the computational complexity of the proposed LRAD-MMSE-SIC-SE-SD detection scheme is independent of the constellation size while it is polynomial with reference to the number of antennas, and signal-to-noise-ratio (SNR). Performance results of the detection scheme indicate that SD complexity is significantly reduced at only marginal performance penalty.

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KW - SIC

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M3 - Conference contribution

SN - 978-1-6654-6668-4

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BT - 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS)

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Kapfunde G, Simpson O , Sun Y. Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. In 2021 20th International Conference on Ubiquitous Computing and Communications (IUCC/CIT/DSCI/SmartCNS). London, United Kingdom: Institute of Electrical and Electronics Engineers (IEEE). 2022. p. 216-223 doi: 10.1109/IUCC-CIT-DSCI-SmartCNS55181.2021.00045

Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems

Abstract

Conference

Keywords

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