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 proceedingConference contribution

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 languageEnglish
Title of host publication20th IEEE International Conference on Computer and Information Technology (CIT-2021), England, UK, 20-22 December 2021
PublisherIEEE Computer Society
Number of pages7
Publication statusAccepted/In press - 18 Nov 2021

Keywords

  • MIMO
  • Sphere Decoder
  • Detection
  • MMSE
  • SIC

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