TY - GEN
T1 - Generalization of channel inversion algorithms for multiuser MIMO downlink systems
AU - Sung, Hakjea
AU - Lee, Sang Rim
AU - Lee, Inkyu
PY - 2008
Y1 - 2008
N2 - Recently a number of transmission schemes have been introduced to achieve sum capacity for multiuser multi-input multi-output (MIMO) broadcast channels (BC). A block diagonalization (BD) is an attractive method which operates only a few dB away from the sum capacity. This scheme is a generalization of the zero-forcing channel inversion to the case where each receiver is equipped with multiple antennas. One of the limitation of the BD is that the sum rate does not grow linearly with the number of users due to the noise enhancement. In this paper, we propose a generalized minimum mean-squared error (MMSE) channel inversion algorithm for users with multiple antennas to overcome the drawbacks of the BD for multiuser MIMO systems. Simulation results confirm that the proposed scheme achieves performance improvement over the conventional BD scheme. Also, we present a precoding method for systems with channel estimation errors and show that the proposed algorithm is robust to the channel estimation errors.
AB - Recently a number of transmission schemes have been introduced to achieve sum capacity for multiuser multi-input multi-output (MIMO) broadcast channels (BC). A block diagonalization (BD) is an attractive method which operates only a few dB away from the sum capacity. This scheme is a generalization of the zero-forcing channel inversion to the case where each receiver is equipped with multiple antennas. One of the limitation of the BD is that the sum rate does not grow linearly with the number of users due to the noise enhancement. In this paper, we propose a generalized minimum mean-squared error (MMSE) channel inversion algorithm for users with multiple antennas to overcome the drawbacks of the BD for multiuser MIMO systems. Simulation results confirm that the proposed scheme achieves performance improvement over the conventional BD scheme. Also, we present a precoding method for systems with channel estimation errors and show that the proposed algorithm is robust to the channel estimation errors.
UR - http://www.scopus.com/inward/record.url?scp=51249101880&partnerID=8YFLogxK
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U2 - 10.1109/ICC.2008.630
DO - 10.1109/ICC.2008.630
M3 - Conference contribution
AN - SCOPUS:51249101880
SN - 9781424420742
T3 - IEEE International Conference on Communications
SP - 3350
EP - 3354
BT - ICC 2008 - IEEE International Conference on Communications, Proceedings
T2 - IEEE International Conference on Communications, ICC 2008
Y2 - 19 May 2008 through 23 May 2008
ER -