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This study explores the convergence property of the interference leakage minimization algorithm (ILMA) proposed by S. W. Peters and R. W. Heath Jr. Among the cooperative interference alignment (IA) schemes, we specialize the ILMA for its better feasibility in real applications than others. However, ILMA cannot converge to a global minimum because of its unitary constraints. As an iterative algorithm,...
In this paper, we study in depth the alternating minimization algorithm (AMA) proposed by S. W. Peters and R. W. Heath Jr. Among iterative interference alignment (IIA) schemes, AMA is considered more feasible for real applications than other IIA schemes. However, no research has investigated how AMA is affected by some real system characteristics. Motivated by this, we look into the effects when taking...
We present a new MIMO precoding scheme using the LDL^H channel decomposition. The proposed method is verified to have lower complexity and better bit error rate (BER) performance than that of the conventional singular value decomposition (SVD). SVD is commonly used in decomposing the MIMO channel into parallel eigen-modes. However, the large variation of the singular values often leads to ill-conditioned...
In MIMO-OFDM systems, the time-varying fading of channel can destroy the orthogonality of subcarriers. This causes serious intercarrier interference (ICI), thus leading to significant system performance degradation, which becomes more severe as the normalized Doppler frequency increases. In this paper, we propose an effective scheme to eliminate ICI for space-time trellis-coded (STTC) systems. By...
In classical MIMO systems, singular value decomposition (SVD) is adopted as a common way to decompose the MIMO channel into parallel subchannels. However, in addition to its high complexity, it is also sensitive to the ill-conditioning of the channel matrix. In this paper, we propose a channel decomposition strategy called LDLH decomposition for low complexity MIMO precoder design. We show that the...
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