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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 this paper, we develop linear precoding methods for cognitive radio (CR) multi-user multiple-input multiple-output (MU-MIMO) broadcast systems where unlicensed secondary users (SUs) simultaneously use the same spectrum of the licensed primary user (PU). When the zero-forcing block diagonalization (ZF-BD) precoder is extended to the CR network, a noise enhancement problem occurs. Therefore, we propose...
We present a novel approach for joint transmitter-receiver design in the uplink of a wireless multiple-input multiple-output communication system. It applies to, e.g., a fast-fading frequency-division duplexing system with periodic pilot signaling from each user -- a scenario hindering transmitter optimization based on channel state information (CSI), while CSI-based receiver optimization is possible...
Downlink multi user multiple input multiple output (MU-MIMO) systems are of increasing importance in current and upcoming wireless applications. The improvement in data rates offered by such systems depends on the design of precoding schemes for the broadcast channel (BC) which is their theoretical generalization. A precoding scheme based on generalized decision feedback equalizer (GDFE) is known...
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