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In this paper, we propose joint transceiver design algorithms for the full-duplex $K$ -pair multiple-input multiple-output interference channel with simultaneous wireless information and power transfer. To mitigate and exploit the complex interference, we consider two important utility optimization problems, i.e., the sum power minimization problem and the sum-rate maximization problem. In the first...
In this paper, we propose a joint transceiver design algorithm for the full-duplex (FD) K-pair multiple- input multiple-output (MIMO) interference channel with simultaneous wireless information and power transfer (SWIPT). The aim is to minimize the total transmission power under both transmission rate and energy harvesting (EH) constraints. An iterative algorithm based on alternating optimization...
In this study, we propose a robust transceiver scheme with switched preprocessing (SP) for K-user multiple-input multiple-output (MIMO) interference channels. The channel state information (CSI) available is assumed to be imperfect under norm-bounded errors (NBE). Each transmitter is provided with a codebook of permutation matrices, so that each arrangement of permutation matrices among the K transmitters...
In this work, we propose a transceiver strategy with switched preprocessing (SP) for interference suppression in K-pair multiple-input multiple-output (MIMO) interference channels. Each transmitter is equipped with a codebook of permutation matrices. For the given MIMO interference channel, all the combinations of permutation matrices among the transmitters can create a number of parallel transceivers...
-In recent years, a lot of interest has been drawn to the so-called multiple input multiple output (MIMO) systems in their potential to achieve enormous capacity gains. This increase in capacity is dependent upon the propagation environment exhibiting sufficient scattering. The characterization of MIMO channels is therefore required in order to analyze the performance of such systems in real environments...
This paper presents a new frequency domain algorithm for blind deconvolution. Our frequency domain algorithm can overcome the difficulty appearing at the frequency bin and avoids the ambiguity of frequency coupling. Like other frequency domain algorithms, our algorithm needs not the identically distributed (iid) assumption of source signals. Our result shows that as long as observed signals are more...
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