Lattice Reduction Aided Detection in Large-MIMO Systems

Singhal, Kamal A and Datta, Tanumay and Chockalingam, A (2013) Lattice Reduction Aided Detection in Large-MIMO Systems. In: IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC), JUN 16-19, 2013, Darmstadt, GERMANY, pp. 594-598.

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Abstract

Lattice reduction (LR) aided detection algorithms are known to achieve the same diversity order as that of maximum-likelihood (ML) detection at low complexity. However, they suffer SNR loss compared to ML performance. The SNR loss is mainly due to imperfect orthogonalization and imperfect nearest neighbor quantization. In this paper, we propose an improved LR-aided (ILR) detection algorithm, where we specifically target to reduce the effects of both imperfect orthogonalization and imperfect nearest neighbor quantization. The proposed ILR detection algorithm is shown to achieve near-ML performance in large-MIMO systems and outperform other LR-aided detection algorithms in the literature. Specifically, the SNR loss incurred by the proposed ILR algorithm compared to ML performance is just 0.1 dB for 4-QAM and < 0.5 dB for 16-QAM in 16 x 16 V-BLAST MIMO system. This performance is superior compared to those of other LR-aided detection algorithms, whose SNR losses are in the 2 dB to 9 dB range.

Item Type:	Conference Proceedings
Series.:	IEEE International Workshop on Signal Processing Advances in Wireless Communications
Publisher:	IEEE
Additional Information:	copyright for this article belongs to IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Keywords:	Lattice reduction; Seysen's algorithm; near-optimal detection; large-MIMOsystems
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	26 May 2014 11:39
Last Modified:	26 May 2014 11:39
URI:	http://eprints.iisc.ac.in/id/eprint/49004

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