Improved MIMO SIC detection exploiting ML criterion

Ji Woong Choi, Jungwon Lee, Hui Ling Lou, Jongsun Park

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

3 Citations (Scopus)

Abstract

In this paper, we propose an improved MIMO successive interference cancellation (SIC) detector taking maximum likelihood (ML) criterion into account. Applying the ML criterion to multiple candidates obtained from all possible orderings of streams in the SIC, the proposed method can provide improved performance with complexity comparable to conventional ordered SIC for moderate number of spatial streams

Original languageEnglish
Title of host publication2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings
DOIs
Publication statusPublished - 2011
EventIEEE 74th Vehicular Technology Conference, VTC Fall 2011 - San Francisco, CA, United States
Duration: 2011 Sep 52011 Sep 8

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

OtherIEEE 74th Vehicular Technology Conference, VTC Fall 2011
CountryUnited States
CitySan Francisco, CA
Period11/9/511/9/8

Keywords

  • MIMO spatial multiplexing
  • maximum likelihood (ML) criterion
  • successive interference cancellation (SIC)

ASJC Scopus subject areas

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

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  • Cite this

    Choi, J. W., Lee, J., Lou, H. L., & Park, J. (2011). Improved MIMO SIC detection exploiting ML criterion. In 2011 IEEE Vehicular Technology Conference Fall, VTC Fall 2011 - Proceedings [6093071] (IEEE Vehicular Technology Conference). https://doi.org/10.1109/VETECF.2011.6093071