On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
LTE: the evolution of mobile broadband
IEEE Communications Magazine
Improved linear transmit processing for single-user and multi-user MIMO communications systems
IEEE Transactions on Signal Processing
Uplink multiuser MIMO transceiver design with transmitting beamforming under power constraints
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Uplink multiuser MIMO transceiver design with transmitting beamforming under power constraints
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Robust joint linear transceiver design for MU-MIMO with imperfect CSI
GMC '10 Proceedings of the 2010 Global Mobile Congress
Downlink MMSE Transceiver Optimization for Multiuser MIMO Systems: Duality and Sum-MSE Minimization
IEEE Transactions on Signal Processing
Transceiver optimization for multiuser MIMO systems
IEEE Transactions on Signal Processing
Capacity and power allocation for fading MIMO channels with channel estimation error
IEEE Transactions on Information Theory
Coordinated beamforming with limited feedback in the MIMO broadcast channel
IEEE Journal on Selected Areas in Communications
Transceiver Design for MIMO Systems with Improper Modulations
Wireless Personal Communications: An International Journal
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This paper considers a joint linear transmitter and receiver design for multi-user multiple-input multiple-output (MU-MIMO) systems using total mean square error (TMSE) criterion, subject to a total transmit power constraint assuming imperfect channel state information. Both the uplink and downlink MU-MIMO systems, which is employed with improper constellations such as binary phase shift-keying and $$M$$M-ary amplitude shift-keying are considered. A minimum TMSE design is formulated as a nonconvex optimization problem under a total transmit power constraint and the closed-form optimum linear precoder and decoder for both the downlink and uplink MU-MIMO systems with improper modulation are determined by solving this nonconvex optimization problem. A novel contribution in this paper is to derive a closed-form optimum linear precoder and decoder for both the downlink and uplink MU-MIMO systems with improper modulation by solving the nonconvex optimization problem under total power constraint. The simulation results show that the performance of the proposed design is improved over the previous design.