Interference cancellation assisted lattice-reduction aided detection for MIMO systems
Interference cancellation assisted lattice-reduction aided detection for MIMO systems
In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) strategy designed for lattice-reduction-aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the optimal 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 minimum-mean-squared-error (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 an approximately 3 dB Eb/N0 gain and performs close to the maximum likelihood detector.
307-311
Lee, K.C.
844a171d-a6c3-4214-a3b9-5898b2a747bd
Chun, J.
1408a15e-20a4-4f1c-8470-18471c3dfe77
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
2006
Lee, K.C.
844a171d-a6c3-4214-a3b9-5898b2a747bd
Chun, J.
1408a15e-20a4-4f1c-8470-18471c3dfe77
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Lee, K.C., Chun, J. and Hanzo, L.
(2006)
Interference cancellation assisted lattice-reduction aided detection for MIMO systems.
IEEE ISSSTA '06, Manaus, Amazon, Brazil.
28 - 31 Aug 2006.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) strategy designed for lattice-reduction-aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the optimal 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 minimum-mean-squared-error (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 an approximately 3 dB Eb/N0 gain and performs close to the maximum likelihood detector.
More information
Published date: 2006
Additional Information:
Event Dates: 28-31 August 2006
Venue - Dates:
IEEE ISSSTA '06, Manaus, Amazon, Brazil, 2006-08-28 - 2006-08-31
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 262970
URI: http://eprints.soton.ac.uk/id/eprint/262970
PURE UUID: ce4d33dc-30e1-4803-b179-cabbd9b84422
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Date deposited: 18 Sep 2006
Last modified: 18 Mar 2024 02:34
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Contributors
Author:
K.C. Lee
Author:
J. Chun
Author:
L. Hanzo
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