PROJECT TITLE :
Enhancing the Performance of the SIC-MMSE Iterative Receiver for Coded MIMO Systems via Companding
Iterative detection and decoding (IDD) method based mostly on soft interference cancellation and minimum-mean squared-error filtering (SIC-MMSE) has received considerable attention lately due to its good performance-complexity tradeoff for coded multiple-input multiple-output (MIMO) systems. The Gaussianity of the a priori and a posteriori log-chance ratios (LLRs) computed at the constitute stages of the SIC-MMSE iterative receiver may be a presumption for IDD to work. In this letter, the Gaussianity assumption is 1st shown to be not tight for top rate coded MIMO systems and thus ends up in poor performance (for high rate coded MIMO systems). Then a non-linear companding based transformation technique is incorporated into the SIC-MMSE iterative receiver to alleviate the non-Gaussianity of the a priori and a posteriori LLRs due to the imperfection of the (high-rate) code and per-stream approximation. Analytical and numerical results show that the proposed reworked SIC-MMSE iterative receiver achieves vital performances gains over the traditional one for coded MIMO systems, in specific, high rate coded ones with even lower computational complexity.
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