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Low-complexity lattice reduction architecture using interpolation-based QR decomposition for MIMO-OFDM systems
Conference paper

Low-complexity lattice reduction architecture using interpolation-based QR decomposition for MIMO-OFDM systems

I-Wen Liu, Chun-Fu Liao, Fang-Chun Lan and Yuan-Hao Huang
IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS, pp.224-227
2012

Abstract

Lattice Reduction LLL algorithm MIMO OFDM QR decomposition
Lattice reduction (LR) technique is well known for its capability of improving MIMO detection performance. Nevertheless, the complexity increases significantly when LR is applied to all sub-carriers in the orthogonal-frequency division-multiplexing (OFDM) system. To address this issue, this research proposes an interpolation-based preprocessing architecture for LR-aided MIMO-OFDM system. The proposed architecture combines the interpolation-based QR decomposition and grouping architecture to decrease the iteration loops of LR by adopting lattice matrix of adjacent sub-carrier. The experiment compares the BER performance of the proposedmethod with those of other works in the channel of the 3GPP-LTE system. The experimental results show that the proposed LR architecture not only shortens latency but also reduce computational complexity and hardware cost for MIMO-OFDM systems. © 2012 IEEE.

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