Theoretical studies have revealed that multiple-input multiple-output (MIMO) technology is a promising candidate for next-generation wireless technology. Space-time coding and spacial multiplexing are important techniques to achieve high data rates and link quality in MIMO systems. Channel state information (CSI) is usually not required for space-time code design, however, in the case where CSI is available, it can be further exploited for precoder and equalizer design to enhance the system performance. In this thesis, we first address the problem of linear precoder design in single user space-time coded MIMO system with maximum likelihood (ML) detector employed at the receiver side based on partial CSIT. We proposed a close-to-optimal precoder structure with closed-form expression and...[ Read more ]

Theoretical studies have revealed that multiple-input multiple-output (MIMO) technology is a promising candidate for next-generation wireless technology. Space-time coding and spacial multiplexing are important techniques to achieve high data rates and link quality in MIMO systems. Channel state information (CSI) is usually not required for space-time code design, however, in the case where CSI is available, it can be further exploited for precoder and equalizer design to enhance the system performance. In this thesis, we first address the problem of linear precoder design in single user space-time coded MIMO system with maximum likelihood (ML) detector employed at the receiver side based on partial CSIT. We proposed a close-to-optimal precoder structure with closed-form expression and verified the performance of the precoder with simulation results.

Next, we extend the linear precoder design problem to multiuser space-time block coded MIMO systems based on outdated channel state information. Ap-plying ML decoder at the receiver and constraint the transmission power, we formulate the precoder design as an optimization problem. An iterative algo-rithm is proposed for the general space-time block code (STBC) while a closed-form solution is derived for orthogonal space-time block code (OSTBC). Later, we have also presented some insights on how the outdated CSI affects the pre-coder structure.

Finally, we consider the linear precoder and equalizer design in the uplink of multiuser MIMO systems with imperfect CSI. By minimizing the system mean square error (MSE) and under a sum power constraint, we formulate the linear transceiver design problem as an optimization problem. Closed-form precoder structure is obtained and asymptotic expression of the sum-MSE is derived herein.