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- W2989888938 abstract "In this paper, we propose an efficient detector for large-scale multi-input multi-output (MIMO) systems. Our proposed detector is mainly based on conditional (or subspace) detection and partial lattice reduction (PLR) algorithm tailored to an appropriate channel ordering. The conditional detection for finding one symbol through an exhaustive search over the constellation points is considered. Then, part of the channel is reduced by the PLR technique in order to compensate for the degradation of diversity due to limiting the exhaustive search levels to one. In order to improve the error performance, all other remaining non-reduced columns are also considered for conditional detection. In the proposed detector, part of the detection complexity is transferred to the preprocessing stage where the PLR algorithm is implemented. Consequently, for quasi-static channels where the channel is constant over a long block, the cost of PLR can be negligible. The improvement over the error performance of the state-of-the-art detection schemes is investigated for some large-scale MIMO systems." @default.
- W2989888938 created "2019-12-05" @default.
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- W2989888938 date "2019-09-01" @default.
- W2989888938 modified "2023-09-26" @default.
- W2989888938 title "Partial Lattice Reduction and Subspace Detection of Large-Scale MIMO Systems" @default.
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- W2989888938 doi "https://doi.org/10.1109/pimrc.2019.8904119" @default.
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