Generalized channel inversion methods for multiuser MIMO systems
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Power allocation for beamforming relay networks under channel uncertainties
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
MSE-based transceiver designs for the MIMO interference channel
IEEE Transactions on Wireless Communications
EURASIP Journal on Wireless Communications and Networking - Special issue on interference management in wireless communication systems: theory and applications
| Hi-index | 35.69 |
We propose a regularized channel diagonalization method for a joint transmit-receive linear optimization in the downlink of a multiuser multiple-input multiple-output (MIMO) communication system. This method is based on the use of a modified minimum mean-square error (MMSE) criterion, which employs a weighted information symbol vector for the target and signal scaling. The weights for the target are the equivalent channel gain resulting from a zero-forcing (ZF)-based MIMO channel diagonalization. A joint iterative algorithm for minimizing the mean-square error (MSE) under a total transmit power constraint is derived, and its convergence is proved. The signal-to-interference-plus-noise ratio (SINR) is analyzed and the sum rates evaluated in a computer simulation. The results demonstrate that the proposed method outperforms the existing ZF- and MMSE-based methods