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Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems

Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems
In this letter, we investigated the optimal minimummean-squared-error (MMSE) based successive interference cancellation (SIC) strategy designed for lattice-reduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the MMSE-based 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 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 a better performance compared to its counterpart dispensing with updating the mean and variance, and performs close to the maximum likelihood detector. Index Terms—Lattice-reduction, multiple antennas, MIMO, symbol detection, SIC detector.
2438-2443
Lee, K.
2ff7558a-b099-497f-bf5d-e0b041269620
Chun, J.
1408a15e-20a4-4f1c-8470-18471c3dfe77
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Lee, K.
2ff7558a-b099-497f-bf5d-e0b041269620
Chun, J.
1408a15e-20a4-4f1c-8470-18471c3dfe77
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Lee, K., Chun, J. and Hanzo, L. (2007) Optimal Lattice-Reduction Aided Successive Interference Cancellation for MIMO Systems. IEEE Transactions on Wireless Communications, 6 (7), 2438-2443.

Record type: Article

Abstract

In this letter, we investigated the optimal minimummean-squared-error (MMSE) based successive interference cancellation (SIC) strategy designed for lattice-reduction aided multiple-input multiple-output (MIMO) detectors. For the sake of generating the MMSE-based 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 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 a better performance compared to its counterpart dispensing with updating the mean and variance, and performs close to the maximum likelihood detector. Index Terms—Lattice-reduction, multiple antennas, MIMO, symbol detection, SIC detector.

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Published date: July 2007
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264573
URI: http://eprints.soton.ac.uk/id/eprint/264573
PURE UUID: ee5c3a9f-943e-4700-b7a7-5ac0736ad497
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 23 Sep 2007
Last modified: 03 Dec 2019 02:06

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