Quoc-Tuong Ngo

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—Through a feedback link, the channel state information acquired at the receiver is known at the transmitter and MIMO precoding techniques can be applied according to various criteria. In this paper, an efficient linear precoder based on the maximization of the minimum Euclidean distance between two received data vectors for three data-stream MIMO spatial(More)
—A precoder based on the exact optimization of the minimum Euclidean distance d min between signal points at the receiver side is proposed for MIMO-OFDM systems using a 16-QAM modulation. Assuming that channel state information (CSI) can be made available at the transmitter, the channel is diagonalized and a precoder can be derived. A numerical approach(More)
—This paper proposes an efficient sub-optimal MIMO linear precoder based on the maximization of minimum distance for three virtual suchannels. A new virtual MIMO channel representation with two channel angles allows the parameterization of the linear precoder and the optimization of the distance between signal points at the received constellation. To(More)
From the feedback of the channel state information (CSI), precoding techniques improve the performance of multiple-input multiple-output (MIMO) systems by optimizing various criteria. In this correspondence, an efficient precoder that maximizes the minimum distance (<i>d</i><sub>min</sub>) of two received vectors is studied. This criterion leads to a(More)
—Not only the minimum Euclidean distance but also the number of neighbors providing the dmin in the received constellation has an important role in reducing the error probability when Maximum Likelihood detection is considered. Assuming that the channel-state-information is available at the transmitter, a new precoder in which the rotation parameter has no(More)
In this article, we investigate the linear precoder based on the maximization of the minimum Euclidean distance between two received data vectors. This new precoding matrix is expressed as the product of a power allocation matrix and an input-shaping matrix. The input-shaping matrix is selected as a normalized discrete Fourier transform-matrix, and the(More)
A new precoding strategy, which considers not only the minimum Euclidean distance but also the number of neighbors providing the distance d min , is proposed. Firstly, a new pa-rameterized form of Neighbor-d min precoder is presented, where all angles containing the phase are assumed to be zero to reduce the number of difference vectors providing d min. The(More)
Not only the minimum Euclidean distance but also the number of neighbors providing the d<inf>min</inf> in the received constellation has an important role in reducing the error probability when Maximum Likelihood detection is considered. Assuming that the channel-state-information is available at the transmitter, a new precoder in which the rotation(More)
A new precoding strategy, which considers not only the minimum Euclidean distance but also the number of neighbors providing the distance d<sub>min</sub>, is proposed. Firstly, a new parameterized form of Neighbor-d<sub>min</sub> precoder is presented, where all angles containing the phase are assumed to be zero to reduce the number of difference vectors(More)
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