Space-time coding and spatial multiplexing are prime candidates for achieving high data rates and link quality in multiple-input multiple-output wireless links. However, both the schemes are open-loop systems which assume no channel knowledge at the t...
Space-time coding and spatial multiplexing are prime candidates for achieving high data rates and link quality in multiple-input multiple-output wireless links. However, both the schemes are open-loop systems which assume no channel knowledge at the transmitter. In a number of applications, there are closed-loop systems which mean channel knowledge can be made available at the transmitter.
A natural question to ask is how to use these channel estimates to further optimize the transmitter. There can be several ways to linearly or non-linearly optimize the transmitter and receiver depending on channel information. In this thesis, we first investigate the closed-loop MIMO systems according to the code design aspect. We propose a novel method of extending any Quasi-Orthogonal Space-Time Block Codes (QO-STBC) constructed for 4 transmit antennas to a closed-loop scheme. We show that with the aid of multiplying the entries of QO-STBC code words by the appropriate phase factors which depend on the channel information, the proposed scheme can improve its transmit diversity with one bit feedback. Second, we consider the signal processing aspect of optimizing the closed-loop MIMO systems. The general method of designing the precoder and decoder for the closed-loop system is introduced. Moreover we will study the linear precoder design for Space-Time-Frequency coded systems, the system model is found, and the methodology of the further research is also present.