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Lattice reduction aided linear detection for generalized spatial modulation

  • Chungang Liu
  • , Chen Wang
  • , Wenbin Zhang*
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

For reducing the complexity of equalization, linear equalization can be adopted for generalized spatial modulation (GSM) which is a special case of multiple-input-and-multiple-output (MIMO). However, because of its inferior performance, linear equalization may be infeasible for practical GSM systems which has large number of antennas and constellation. On the other hand, lattice-reduction (LR) is an effective method to improve the performance of linear equalization. The lattice reduction can’t be utilized by GSM directly, because signals on some antennas don’t exist. For tackling this problem, we propose a compatible 8-QAM constellation scheme integrating LR-aided linear equalization with GSM effectively. Next, we prove that LR-aided linear equalizers collect the same diversity order as that exploited by the ML detector under Rayleigh fading channels, and implement some simulations. Simulation results show the superior of the proposed 8-QAM over traditional 4-QAM and 8-QAM under Rayleigh fading channel. Moreover, our scheme obtains the full receive diversity under correlated channel.

Original languageEnglish
Title of host publicationMachine Learning and Intelligent Communications - Second International Conference, MLICOM 2017, Proceedings
EditorsXuemai Gu, Gongliang Liu, Bo Li
PublisherSpringer Verlag
Pages181-194
Number of pages14
ISBN (Print)9783319735634
DOIs
StatePublished - 2018
Event2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017 - Weihai, China
Duration: 5 Aug 20176 Aug 2017

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume226 LNICST
ISSN (Print)1867-8211

Conference

Conference2nd International Conference on Machine Learning and Intelligent Communications, MLICOM 2017
Country/TerritoryChina
CityWeihai
Period5/08/176/08/17

Keywords

  • 8-QAM
  • Generalized spatial modulation
  • Lattice reduction
  • Linear detection

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