A grouped-iterative framework for MIMO detection

Di You Wu*, Lan-Da Van

*Corresponding author for this work

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

1 Scopus citations


In this paper, we propose one grouped-iterative framework to generate a family of the MIMO detection algorithms. The presented framework not only includes the conventional iterative, grouped, and Chase detection algorithms, but also derives a new low-complexity MIMO detection algorithm. The proposed detection can adjust some parameters to achieve a range of trade-offs between performance and complexity. In (4,4) system with uncoded 16-QAM inputs, one instance of the proposed detection algorithm not only substantially reduces the multiplication complexity by 26.3% but also outperforms the BODF algorithm about 5dB. Another instance of the proposed algorithm can save multiplication complexity by 34% at the penalty of 1 dB loss compared with the B-Chase detector.

Original languageEnglish
Title of host publicationThe 68th IEEE Vehicular Technology Conference, VTC 2008-Fall
StatePublished - 1 Dec 2008
Event68th Semi-Annual IEEE Vehicular Technology, VTC 2008-Fall, Conference - Calgary, AB, Canada
Duration: 21 Sep 200824 Sep 2008

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference68th Semi-Annual IEEE Vehicular Technology, VTC 2008-Fall, Conference
CityCalgary, AB


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