Paper Info
Title
Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
Abstract
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.
Year
DOI
Venue
2007
10.1109/TWC.2007.06058
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
MIMO communication,antenna arrays,correlation methods,interference suppression,least mean squares methods,maximum likelihood detection,Gaussian distributed random variables,MIMO systems,effective symbols,multiple-input multiple-output detectors,optimal lattice-reduction,optimal mioimum- mean-squared-error,successive interference cancellation
Signal processing,Control theory,Single antenna interference cancellation,Mean squared error,MIMO,Gaussian,Interference (wave propagation),Detector,Lattice reduction,Mathematics
Journal
Volume
Issue
ISSN
6
7
1536-1276
Citations 
PageRank 
References 
5
0.46
6
Authors
3
Name
Order
Citations
PageRank
Kyungchun Lee110615.06
Joohwan Chun239635.12
Lajos Hanzo310889849.85