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- W2616147462 abstract "In uplink massive multiple-input multiple-output (MIMO) systems, the conventional minimum mean square error-interference rejection combining (MMSE-IRC) signal detection algorithm needs to compute the inverse of the interference and noise covariance matrix, which incurs high computational complexity, especially when the number of antennas is large. A low-complexity MMSE-IRC signal detection algorithm based on the eigenvalue decomposition of the interference and noise covariance matrix is proposed. The proposed algorithm exploits a dimension-reduction technique to reduce the computation-intensive of the matrix inversion compared with the conventional algorithm. Meanwhile, the proposed algorithm is shown to be equivalent to the conventional MMSE-IRC algorithm under the assumption of uncorrelated interference and noise. Analysis and simulation results show the effectiveness of the proposed algorithm." @default.
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- W2616147462 date "2017-07-01" @default.
- W2616147462 modified "2023-10-02" @default.
- W2616147462 title "Low‐complexity MMSE‐IRC algorithm for uplink massive MIMO systems" @default.
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- W2616147462 doi "https://doi.org/10.1049/el.2017.1133" @default.
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