Lattice Reduction Aided Detection with Reduced Complexity for Time-Correlated MIMO Channel

An, Chan-ho; Yang, Janghoon; Kim, Dong Ku

doi:10.1109/acssc.2007.4487491

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…As shown in Figure 3, the I-SLR is executed with the 1st and 3rd column of H in the first stage of the OLR-block and the 2nd and 4th column of H in the second stage of the OLR-block, which is the same as the SLR scheme. If the swap event occurs at the second stage of the SLR-block, then the iteration begins again with the updated partial input matrix (25). Otherwise, the output matrix H" R is determined as the finally reduced matrix, and the process will end.…”

Section: Iterative Scheme Of Structured Lattice Reductionmentioning

confidence: 99%

“…In [23,24], the LR method for complex-lattice is introduced, which achieves an average complexity saving of nearly 50% (in terms of floating-point operations) without performance degradation. In [25][26][27], a low complexity LRA detection scheme has been proposed in temporally, spatially, and spectrally correlated MIMO channels, exploiting the channel correlation and unimodular property of the transformation matrix. Although these schemes reduce the detection complexity significantly, the complexity of LR still needs to be further reduced to make the LR scheme more attractive for MIMO detection in practical wireless environments.…”

Section: Introductionmentioning

confidence: 99%

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Low complexity lattice reduction scheme for STBC two-user uplink MIMO systems

Lee²,

Yang

et al. 2011

J Wireless Com Network

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Recently, a lattice reduction-aided (LRA) multiple-input multiple-output detection scheme has been proposed in junction with linear (as well as nonlinear) detectors. It is well known that these schemes provide a full diversity, and its complexity is comparable to that of linear detectors for the block fading channels. For the fast varying channels, however, the decoding complexity of LRA detection scheme is unreasonably high. This article proposes an efficient iterative lattice reduction (LR) scheme for an uplink system with two receive antennas at the base station and two users, each employing the Alamouti space-time block code (STBC). By taking advantage of the certain inherent STBC structure of transmitted symbols from users, the proposed scheme provides the same performance as a conventional LR while saving about 80% computational complexity. We also show that it can be successfully extended to handle the scenario where another interfering user, who is also employing the Alamouti STBC, is present.

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Section: Iterative Scheme Of Structured Lattice Reductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%