부산대학교 도서관

Multi-input-multi-output (MIMO) is a promising technique for increasing channel capacity in wireless communication systems. However, activating multiple transmit antennas leads to several problems, such as the requirement of multiple radio frequency (RF) chains, high transmission power, inter-antenna synchronization and so on. Therefore, spatial modulation (SM) has been proposed to mitigate the above-mentioned problems, which only activates a single antenna for each transmission. In this thesis, we utilize the pre-coding and quadrature techniques to design several novel transmission schemes and index mapping (IM) schemes for improving the system performance of related SM schemes. Specifically, SM is first introduced for its benefits. The extended works on SM are also introduced in the first part. Then, we propose a low-complexity detection method for one extended SM scheme, called quadrature SM (QSM). Next, inspired by QSM and generalised pre-coding SM (GPSM), we propose a novel scheme, named generalised pre-coding aided QSM (GPQSM), which achieves the better performance compared with the existing SM schemes. In addition, the theoretical analysis of GPQSM is also provided. On the other hand, the study of differential SM (DSM) is given and a performance enhancement scenario based on Gray code is proposed for DSM. In the above-mentioned schemes, the spatial bits are carried by the indices of actual transmit or receive antennas. However, motivated by singular value decomposition (SVD), we also propose a new scheme, named virtual SM (VSM), which carries the spatial bits through virtual antennas. Note that VSM can further increase the system performance compared with that of GPQSM. In the last part of thesis, we propose a novel IM method for orthogonal frequency division multiplexing with IM (OFDM-IM), which obtains a considerable performance gain without any additional expense. Finally, we conclude the thesis and address the future work.