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This paper considers the DFE transceiver optimization for time-varying memoryless MIMO channels under zero-forcing (ZF) constraint. For time-varying channels, the uncoded average BER of the conventional geometric mean decomposition (GMD) based systems is not minimized because of the diverse arithmetic MSEs at different block times. To minimize the BER, a new GMD transceiver is proposed, in which the...
The decision feedback (DF) transceiver, combining linear precoding and DF equalization, can establish point-to-point communication over a wireless multiple-input multiple-output channel. Matching the DF-transceiver design parameters to the channel characteristics can improve system performance, but requires channel knowledge. We consider the fast-fading channel scenario, with a receiver capable of...
In this paper, we propose two robust precoder designs for multiple-input multiple-output (MIMO) broadcast channels with imperfect channel state information (CSI). First,we consider a precoder design for a multiuser multiple-input single-output (MISO) downlink, where a base station (BS) equipped with multiple transmit antennas communicates with user terminals which are equipped with a single receive...
We study the problem of joint transmit and receive filters optimization in a frequency selective, multiple-input multiple-output setup. The information about the channel at the transmitter is imperfect and belongs to a specified uncertainty set, defined by bounding the norm of the error transfer function. The framework for a robust optimization of the system, with mean-square-error (MSE) as the performance...
We consider linear precoding and decoding in the downlink of a multiuser multiple-input, multiple-output (MIMO) system. In this scenario, the transmitter and the receivers may each be equipped with multiple antennas, and each user may receive more than one data stream. We examine the relationship between the sum capacity for the broadcast channel with channel state information at the transmitter under...
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