Abstract
In recent years, due to the transmission data rates and growing link quality demand, researchers develop new transmission technologies to achieve high data throughputs and spectral eciency, such as multiple-input-multiple-output (MIMO) systems that is widely used in wireless communication. However, the energy eciency is always not taken into consideration. In traditional MIMO system, The energy eciency decreases linearly with the number of active antennas (RF chains). In order to increase energy eciency in wireless communication, the researcher proposes Spatial Modulation (SM) that is a emerging and recently developed multiple-antenna transmission technique. The main concept of SM is that using one active antenna to transmit signal in largescale MIMO communications. Therefore, SM can achieve to reduce the number of RF chain and increase energy eciency, such as Single-Input- Single-Output (SISO) system. Beside, SM can improve transmission date rates compared to Single-Input- Single-Output (SISO) system. This is because there are addition bits to be mapped into antenna index. Nowadays, the researcher has been developed the large-scale MIMO system. Therefore, the more the number of antenna at transmit, the higher data rates. In addition, if the system at the same time has more than two active antennas to transmit signals, which is termed as SM-MIMO. It can achieve higher transmission data rates than SM system. In this thesis, we mainly SM-MIMO with two active antennas and propose a joint subset channel concept and pre-processing each joint subset channel to reduce the computational complexity of detector.