Optimal lattice-reduction aided successive interference cancellation for MIMO systems

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In this letter, we investigated the optimal minimum-mean-squared-error (MMSE) based successive interference cancellation (SIC) strategy designed for lattice-reduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the MMSE-based 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 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 a better performance compared to its counterpart dispensing with updating the mean and variance, and performs close to the maximum likelihood detector.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2007-07
Language
English
Article Type
Article
Keywords

CHANNELS

Citation

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.6, no.7, pp.2438 - 2443

ISSN
1536-1276
DOI
10.1109/TWC.2007.06058
URI
http://hdl.handle.net/10203/86561
Appears in Collection
EE-Journal Papers(저널논문)
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