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We investigate the sum rate maximization in the MIMO broadcast channel when linear filtering is applied. Our particular interest lies in usually not considered system configurations where the base station is equipped with less antennas than the user terminals have in sum. For such scenarios, conventional block-diagonalization or zero-forcing techniques cannot be applied and even asymptotic results...
For the single-group multicast scenario, where K users are served with the same data by a base station equipped with N antennas, we present two beamforming algorithms which outperform state-of-the-art multicast filters and feature a drastically reduced complexity at the same time. For the power minimization problem, where QoS constraints need to be satisfied, we introduce a successive beamforming...
We address the problem of jointly optimizing the pre coder and the receivers in a multi-user broadcast system for a linear and nonlinear transmitter under sum mean square error (MSE) minimization. By means of alternating optimization (AO), we find an iterative algorithm which always converges to the global optimum. In addition to an elegant initialization of the receivers' weights, we come up with...
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