Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
Lee, K., Chun, J. and Hanzo, L. (2007) Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems. IEEE Transactions on Wireless Communications, 6, (7), 2438-2443.
In this letter, we investigated the optimal minimummean-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. Index Terms—Lattice-reduction, multiple antennas, MIMO, symbol detection, SIC detector.
|Divisions:||Faculty of Physical and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||23 Sep 2007|
|Last Modified:||21 Aug 2012 04:09|
|Contributors:||Lee, K. (Author)
Chun, J. (Author)
Hanzo, L. (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||7|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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