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Recent works on multi-user transmission techniques have shown that the linear growth of capacity in single user MIMO system can be translated to the multi-user MIMO scenario as well. In this paper, we propose a method pursuing performance gain of vector perturbation in multi-user downlink channels. Instead of exploiting the maximum available mobile users for communication, we employ small part of...
The capacity of downlink multi-input multi-output (MIMO) systems is significantly limited by inter-cell co-channel interference (CCI). Improving the performance of cell edge users who suffers strong inter-cell CCI is still a crucial issue. In this paper, coordinated beamforming (CBF) algorithm for multicell multiuser MIMO system is proposed to cope with the presence of intel-cell CCI. In multicell...
Random unitary beamforming (RUB) is an attractive low-complexity transmission scheme for multiuser MIMO broadcast channel. When there are a moderate number of users in the system, the sum rate performance of this signaling scheme becomes mainly interference-limited over high signal-to-noise ratio (SNR) region. In this paper, we study the performance of RUB-based multiuser MIMO systems when optimum...
In a wireless multi-user system using multiple antennas, full multiplexing gain can be achieved through perfect channel state information (CSI) at the base station (BS). However, because of the limitations on the feedback rate and of standard requirements, such as the 3GPP, it is difficult to obtain perfect CSI, or even partial CSI with the extremely large number of feedback bits needed at the region...
This paper deals with the sum-rate performance in the broadcasting channel of a decentralized multiuser multi-antenna system. With the assumption of limited channel state information available at the base station and a large number of single antenna decentralized users in a cell, we propose a Semi-orthogonal precoding method with a total feedback rate constraint, and analyze its the sum-rate performance...
This correspondence corrects an error in the proof for theorem, the concavity of the logarithmic function was incorrectly applied to obtain the sum-rate lower bound even though it leads to an upper bound. The revised proof is provided in section II-A, where the aforementioned error has been removed. The changes include replacing the average of a set of signal-to-noise- interference (SINR) terms with...
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