TY - GEN
T1 - Robust MMSE transceiver designs for uplink MIMO systems subject to arbitrary linear equality power constraints
AU - Lu, Enoch
AU - Lu, I. Tai
AU - Li, Jialing
PY - 2010
Y1 - 2010
N2 - Two numerical approaches, the Robust-Generalized Iterative Approach (R-GIA) and the Robust-Transmit Covariance Optimization Approach (R-TCOA), are proposed for jointly designing the minimum mean square error (MMSE) precoders and decoders of uplink multiuser multiple-input-multiple-output (MIMO) systems with arbitrary linear equality power constraints and possibly imperfect channel state information (CSI). The R-TCOA always gives optimum solutions but is only applicable when the rank constraints on the precoders are relaxed, the spatial correlation matrix for the transmit antennas of each user is an identity matrix, and there exists a scalar such that squaring the source covariance matrices is the same as multiplying them by it. The statistics of the CSI error also need to be the same for all users if the power constraints of the users are interdependent. The R-GIA, on the other hand, has no such restrictions. But whenever the R-TCOA is applicable, both approaches converge, and all the transmit covariance matrices are full rank, the two solutions are actually equivalent (i.e. the R-GIA is also optimum)! Numerical results show that these two robust approaches, for the most part, outperform their non-robust counterparts in various different channel correlation scenarios.
AB - Two numerical approaches, the Robust-Generalized Iterative Approach (R-GIA) and the Robust-Transmit Covariance Optimization Approach (R-TCOA), are proposed for jointly designing the minimum mean square error (MMSE) precoders and decoders of uplink multiuser multiple-input-multiple-output (MIMO) systems with arbitrary linear equality power constraints and possibly imperfect channel state information (CSI). The R-TCOA always gives optimum solutions but is only applicable when the rank constraints on the precoders are relaxed, the spatial correlation matrix for the transmit antennas of each user is an identity matrix, and there exists a scalar such that squaring the source covariance matrices is the same as multiplying them by it. The statistics of the CSI error also need to be the same for all users if the power constraints of the users are interdependent. The R-GIA, on the other hand, has no such restrictions. But whenever the R-TCOA is applicable, both approaches converge, and all the transmit covariance matrices are full rank, the two solutions are actually equivalent (i.e. the R-GIA is also optimum)! Numerical results show that these two robust approaches, for the most part, outperform their non-robust counterparts in various different channel correlation scenarios.
KW - Imperfect CSI
KW - Joint MMSE precoder and decoder
KW - Per-antenna power constraint
KW - Robust
KW - Uplink multiuser MIMO
UR - http://www.scopus.com/inward/record.url?scp=79952531209&partnerID=8YFLogxK
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U2 - 10.1109/ICSPCS.2010.5709744
DO - 10.1109/ICSPCS.2010.5709744
M3 - Conference contribution
AN - SCOPUS:79952531209
SN - 9781424479078
T3 - 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings
BT - 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010 - Proceedings
T2 - 4th International Conference on Signal Processing and Communication Systems, ICSPCS'2010
Y2 - 13 December 2010 through 15 December 2010
ER -