HARQ throughput performance of training sequence aided SC-MIMO using reduced complexity ML block detection

Tetsuya Yamamoto, Fumiyuki Adachi

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

Abstract

For high-speed packet access, hybrid automatic repeat request (HARQ) and multi-input multi-output (MIMO) multiplexing are indispensable techniques. Single-carrier (SC) MIMO block transmission using frequency-domain signal detection such as the frequency-domain linear detection based on the minimum mean square error criterion (MMSED) can improve the HARQ throughput performance over the frequency-selective fading channel. However, the performance improvement is limited due to not only an inter-antenna interference (IAI) but also an inter-symbol interference (ISI) resulting from a severe frequency-selective fading. In this paper, we propose to jointly use a training sequence (TS) aided SC block transmission and a near maximum likelihood (ML) block detection using QR decomposition and M-algorithm (QRM-MLBD) for SC-MIMO HARQ. It is shown, by computer simulation, that SC-MIMO using TS aided QRM-MLBD significantly improves the HARQ throughput performance compared to an often used cyclic prefix (CP) inserted SC-MIMO while significantly reducing the computational complexity. It is also shown that proposed TS aided QRM-MLBD achieves a significantly higher throughput than the MMSED particularly when higher level modulation is used.

Original languageEnglish
Title of host publicationIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings
DOIs
Publication statusPublished - 2012 Aug 20
EventIEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Yokohama, Japan
Duration: 2012 May 62012 Jun 9

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

OtherIEEE 75th Vehicular Technology Conference, VTC Spring 2012
CountryJapan
CityYokohama
Period12/5/612/6/9

Keywords

  • HARQ
  • M-algorithm
  • MIMO
  • QR decomposition
  • Single-carrier
  • near ML detection
  • training sequence

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Yamamoto, T., & Adachi, F. (2012). HARQ throughput performance of training sequence aided SC-MIMO using reduced complexity ML block detection. In IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings [6240238] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECS.2012.6240238