Performance Analysis of Low Complexity Lattice Reduction-Aided Iterative Receiver for Overloaded MIMO

Satoshi Denno, Yuta Kawaguchi, Tsubasa Inoue, Hou Yafei

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

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). The performance of the proposed receiver is theoretically analyzed that the lattice reduction guarantees the SNR of the detector to be more than a value proportional to the scalar gain, when the LenstraLenstraLovas (LLL) algorithm is applied to implement the lattice reduction. The proposed receiver attains a gain of about 5dB at the BER of 10-4 in a 6 × 2 overloaded MIMO channel.

Original languageEnglish
Title of host publication2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings
EditorsTadeusz A Wysocki, Beata J Wysocki
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538656020
DOIs
Publication statusPublished - Jan 31 2019
Event12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Cairns, Australia
Duration: Dec 17 2018Dec 19 2018

Publication series

Name2018, 12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018 - Proceedings

Conference

Conference12th International Conference on Signal Processing and Communication Systems, ICSPCS 2018
Country/TerritoryAustralia
CityCairns
Period12/17/1812/19/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

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