University of Hertfordshire

By the same authors

Standard

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.

20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021 . IEEE Computer Society, 2021.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Kapfunde, G, Simpson, O & Sun, Y 2021, Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. in 20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021 . IEEE Computer Society.

APA

Kapfunde, G., Simpson, O., & Sun, Y. (Accepted/In press). Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems. In 20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021 IEEE Computer Society.

Vancouver

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 20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021 . IEEE Computer Society. 2021

Author

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. 20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021 . IEEE Computer Society, 2021.

Bibtex

@inproceedings{a432e0ec45074e4b84dccda4cf760e7c,
title = "Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems",
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.",
keywords = "MIMO, Sphere Decoder, Detection, MMSE, SIC",
author = "Goodwell Kapfunde and Oluyomi Simpson and Yichuang Sun",
year = "2021",
month = nov,
day = "18",
language = "English",
booktitle = "20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021",
publisher = "IEEE Computer Society",

}

RIS

TY - GEN

T1 - Low-Complexity Lattice Reduction Aided Schnorr Euchner Sphere Decoder Detection Schemes with MMSE and SIC Pre-processing for MIMO Wireless Communication Systems

AU - Kapfunde, Goodwell

AU - Simpson, Oluyomi

AU - Sun, Yichuang

PY - 2021/11/18

Y1 - 2021/11/18

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.

KW - MIMO

KW - Sphere Decoder

KW - Detection

KW - MMSE

KW - SIC

M3 - Conference contribution

BT - 20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021

PB - IEEE Computer Society

ER -