Efficient Lattice Reduction Aided Detectors Under Realistic MIMO Channels.

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Bibliographic Details
Title:	Efficient Lattice Reduction Aided Detectors Under Realistic MIMO Channels.
Authors:	Mussi, Alex¹ alexmmussi@gmail.com, Costa, Bruno¹, Abrão, Taufik¹ taufik@uel.br
Source:	Wireless Personal Communications. Jul2017, Vol. 95 Issue 2, p947-978. 32p.
Subjects:	Performance of MIMO systems, Signal detection, Maximum likelihood detection, Interference (Telecommunication), Statistical correlation
Abstract:	This contribution analyses the performance of efficient multiple-input-multiple-output (MIMO) detectors under correlated channels and imperfect coefficients channel estimation. A number of signal detection principles and techniques, including the minimum mean squared error detector with and without ordered successive interference cancellation; the sphere decoding MIMO detection, as well as promising near-orthogonal transformation techniques combined with these detectors, namely the lattice reduction and the QR decomposition are analysed under the perspective of complexity-performance tradeoff. While in most of available works perfect channel state information and uncorrelated channels have been considered, herein the complexity-performance tradeoff has been analysed and compared with the maximum likelihood (ML) limit under specific but practical scenarios of interest, namely: high spectral efficiency scenario; channel error estimates; channel/antenna correlation; combined channel errors and correlated channels. Under performance-complexity perspective, the optimum ML-MIMO detector is deployed as reference aiming to evaluate the efficiency and performance degradation of those sub-optimal MIMO detectors operating under hostile channel conditions. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	This contribution analyses the performance of efficient multiple-input-multiple-output (MIMO) detectors under correlated channels and imperfect coefficients channel estimation. A number of signal detection principles and techniques, including the minimum mean squared error detector with and without ordered successive interference cancellation; the sphere decoding MIMO detection, as well as promising near-orthogonal transformation techniques combined with these detectors, namely the lattice reduction and the QR decomposition are analysed under the perspective of complexity-performance tradeoff. While in most of available works perfect channel state information and uncorrelated channels have been considered, herein the complexity-performance tradeoff has been analysed and compared with the maximum likelihood (ML) limit under specific but practical scenarios of interest, namely: high spectral efficiency scenario; channel error estimates; channel/antenna correlation; combined channel errors and correlated channels. Under performance-complexity perspective, the optimum ML-MIMO detector is deployed as reference aiming to evaluate the efficiency and performance degradation of those sub-optimal MIMO detectors operating under hostile channel conditions. [ABSTRACT FROM AUTHOR]
ISSN:	09296212
DOI:	10.1007/s11277-016-3807-6