Interference cancellation assisted lattice-reduction aided detection for MIMO systems

Kyungchun Lee, Joohwan Chun, Lajos Hanzo

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

2 Scopus citations

Abstract

In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) strategy designed for latticereduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the optimal MIMO symbol estimate at each SIC detection stage, we model the so-called effective symbols generated with the aid of lattice-reduction as joint Gaussian distributed random variables. However, after lattice-reduction, the effective symbols become correlated and exhibit a non-zero mean. Hence, we derive the optimal minimum-mean-squared-error (MMSE) SIC detector, which updates the mean and variance of the effective symbols at each SIC detection stage. As a result, the proposed detector achieves an approximately 3 dB Eb/No gain and performs close to the maximum likelihood detector.

Original languageEnglish
Title of host publicationISSSTA-06 - 2006 IEEE 9th International Symposium on Spread Spectrum Symposium on Spread Spectrum Techniques and Applications, Proceedings
Pages307-311
Number of pages5
DOIs
StatePublished - 2006
EventISSSTA-06 - 2006 IEEE 9th International Symposium on Spread Spectrum Symposium on Spread Spectrum Techniques and Applications - Manaus, Brazil
Duration: 28 Aug 200631 Aug 2006

Publication series

NameIEEE International Symposium on Spread Spectrum Techniques and Applications

Conference

ConferenceISSSTA-06 - 2006 IEEE 9th International Symposium on Spread Spectrum Symposium on Spread Spectrum Techniques and Applications
Country/TerritoryBrazil
CityManaus
Period28/08/0631/08/06

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