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Optimal lattice-reduction aided successive interference cancellation for mimo systems.
| Content Provider | CiteSeerX |
|---|---|
| Author | Lee, Kyungchun Chun, Joohwan Hanzo, Lajos |
| Abstract | Abstract — In this letter, we investigated the optimal minimum-mean-squared-error (MMSE) based successive interference can-cellation (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. Index Terms — Lattice-reduction, multiple antennas, MIMO, symbol detection, SIC detector. I. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Mimo System Sic Detection Stage Effective Symbol Maximum Likelihood Detector Successive Interference Can-cellation Optimal Minimum-mean-squared-error Optimal Mmse Sic Detector Joint Gaussian Symbol Detection Sic Detector Index Term Lattice-reduction So-called Effective Symbol Multiple Antenna Mmse-based Mimo Symbol Estimate Random Variable Non-zero Mean |
| Content Type | Text |
