Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Active Antenna Selection in Multiuser MIMO Communications
IEEE Transactions on Signal Processing
Design of block transceivers with decision feedback detection
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Minimum BER block precoders for zero-forcing equalization
IEEE Transactions on Signal Processing
Linear transmit processing in MIMO communications systems
IEEE Transactions on Signal Processing - Part I
Widely linear reception strategies for layered space-time wireless communications
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing - Part I
Statistically Robust Design of Linear MIMO Transceivers
IEEE Transactions on Signal Processing - Part I
New transmit schemes and simplified receivers for MIMO wireless communication systems
IEEE Transactions on Wireless Communications
A transmit preprocessing technique for multiuser MIMO systems using a decomposition approach
IEEE Transactions on Wireless Communications
Precoding in multiantenna and multiuser communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Information Theory
A close-to-capacity dirty paper coding scheme
IEEE Transactions on Information Theory
Capacity and lattice strategies for canceling known interference
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
IEEE Communications Magazine
Transceiver Design for MIMO Systems with Improper Modulations
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Multiuser MIMO Transceiver Design for Uplink and Downlink with Imperfect CSI
Wireless Personal Communications: An International Journal
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In this paper, we propose a novel linear transmit precoding strategy for multiple-input, multiple-output (MIMO) systems employing improper signal constellations. In particular, improved zero-forcing (ZF) and minimum mean square error (MMSE) precoders are derived based on modified cost functions, and are shown to achieve a superior performance without loss of spectrum efficiency compared to the conventional linear and nonlinear precoders. The superiority of the proposed precoders over the conventional solutions are verified by both simulation and analytical results. The novel approach to precoding design is also applied to the case of an imperfect channel estimate with a known error covariance as well as to the multi-user scenario where precoding based on the nullspace of channel transmission matrix is employed to decouple multi-user channels. In both cases, the improved precoding schemes yield significant performance gain compared to the conventional counterparts.