Reduced-complexity stack decoder for MIMO systems

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Abstract

In this work, we propose a novel sequential decoder for MIMO systems termed the Zigzag Stack decoder. The algorithm combines the search strategy of the Stack decoder with the Schnorr-Euchner zigzagging method. We show that the Zigzag Stack provides ML performance with a reduced complexity compared to the original Stack decoder and a complexity reduction of 40% in average over the commonly used sphere decoder.

Original languageEnglish
Title of host publication2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479980888
DOIs
Publication statusPublished - 1 Jul 2015
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 11 May 201514 May 2015

Publication series

NameIEEE Vehicular Technology Conference
Volume2015
ISSN (Print)1550-2252

Conference

Conference81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/05/1514/05/15

Keywords

  • MIMO systems
  • Schnorr-Euchner enumeration
  • Sequential decoders
  • Stack decoder

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