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- W3192975491 abstract "Lattice-reduction (LR) techniques have been developed for signal detection in spatial multiplexing multiple input multiple output (MIMO) systems to obtain the largest diversity gain. Thus, an LR-assisted zero-forcing (ZF) receiver can achieve the maximum diversity gain in spatial multiplexing MIMO systems. In this paper, a simplified analysis of the achievable diversity gain is presented by fitting the channel coefficients lattice-reduced by a complex Lenstra-Lenstra-Lovaz (LLL) algorithm into approximated Gaussian random variables. It will be shown that the maximum diversity gain corresponding to two times the number of receive antennas can be achieved by the LR-based ZF detector. In addition, the approximated bit error rate (BER) expression is also derived. Finally, the analytical BER performance is comparatively studied with the simulated results." @default.
- W3192975491 created "2021-08-16" @default.
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- W3192975491 date "2018-09-01" @default.
- W3192975491 modified "2023-09-27" @default.
- W3192975491 title "Performance Analysis of LR-aided ZF Receiver for MIMO Systems" @default.
- W3192975491 hasPublicationYear "2018" @default.
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