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Interference cancellation assisted lattice-reduction aided detection for MIMO systems

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 latticereduction 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
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, Brazil. 28 - 31 Aug 2006. pp. 307-311 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, we proposed and investigated the optimal successive interference cancellation (SIC) strategy designed for latticereduction 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.

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More information

Published date: 2006
Additional Information: Event Dates: 28-31 August 2006
Venue - Dates: IEEE ISSSTA '06, 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
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 18 Sep 2006
Last modified: 03 Dec 2019 02:06

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Contributors

Author: K.C. Lee
Author: J. Chun
Author: L. Hanzo ORCID iD

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