A novel low complexity lattice reduction-aided iterative receiver for overloaded MIMO

Satoshi Denno, Yuta Kawaguchi, Tsubasa Inoue, Yafei Hou

Research output: Contribution to journalArticle

2 Citations (Scopus)

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 5 dB 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).

Original languageEnglish
Pages (from-to)1045-1054
Number of pages10
JournalIEICE Transactions on Communications
VolumeE102B
Issue number5
DOIs
Publication statusPublished - May 1 2019

Keywords

  • Hard-input soft-output
  • Iterative detection
  • Low complexity
  • Noise cancelling
  • Serial interference cancellation

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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