Lattice-reduction-aided robust detection and precoding for MIMO systems with imperfect CSI

Recently, lattice-reduction (LR) has been proposed to improve the performance of linear and successive interference cancellation (SIC) detectors and precoders in MIMO systems. It is proved that LR-aided linear detectors collect the same diversity order as that exploited by the ML detector but with m...

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Veröffentlicht in:2010 5th International ICST Conference on Communications and Networking in China : 25-27 August 2010 S. 1 - 6
Hauptverfasser: Jiandong Li, Rui Chen, Wei Liu
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.08.2010
Schlagworte:
Channel estimation
channel state information
Detectors
lattice reduction
MIMO
robust design
Robustness
Signal to noise ratio
Silicon carbide
Tomlinson-Harashima precoding
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Zusammenfassung:Recently, lattice-reduction (LR) has been proposed to improve the performance of linear and successive interference cancellation (SIC) detectors and precoders in MIMO systems. It is proved that LR-aided linear detectors collect the same diversity order as that exploited by the ML detector but with much lower complexity when perfect channel state information (CSI) is assumed to be available. However, in practice, CSI is always contaminated by channel estimation error and feedback quantization error. In this paper, we proposed MMSE based LR-aided robust linear and SIC detectors and MMSE based LR-aided (robust) linear precoder and (robust) Tomlinson-Harashima precoder (THP) which are capable of improving the BER performance in the context of imperfect CSI. Furthermore, we find that the performance improvement of LR-aided nonlinear method in SIC detectors at receiver is more pronounced than that in THP at transmitter.
DOI:10.4108/chinacom.2010.102