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• W2044144964 abstract "Maximum-likelihood (ML) detection for higher order multiple-input-multiple-output (MIMO) systems faces a major challenge in computational complexity. This limits the practicality of these systems from an implementation point of view, particularly for mobile battery-operated devices. In this paper, we propose a modified approach for MIMO detection, which takes advantage of the quadratic-amplitude modulation (QAM) constellation structure to accelerate the detection procedure. This approach achieves low-power operation by extending the minimum number of paths and reducing the number of required computations for each path extension, which results in an order-of-magnitude reduction in computations in comparison with existing algorithms. This paper also describes the very-large-scale integration (VLSI) design of the low-power path metric computation unit. The approach is applied to a 4times4, 64-QAM MIMO detector system. Results show negligible performance degradation compared with conventional algorithms while reducing the complexity by more than 50%." @default.
• W2044144964 created "2016-06-24" @default.
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• W2044144964 date "2009-09-01" @default.
• W2044144964 modified "2023-10-18" @default.
• W2044144964 title "Architectural Optimizations for Low-Power $K$-Best MIMO Decoders" @default.
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• W2044144964 doi "https://doi.org/10.1109/tvt.2009.2017548" @default.
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