Low-complexity antenna selection algorithms for MIMO systems

Abstract

Wireless communication is developed rapidly and different network technologies are invented, e.g. Wi-Fi, 4G. In these technologies, MIMO is part of the wireless communication of which academic researches based on it are carried out. MIMO with multiple antennas improves the capacity and reliability of communication. However, the deployment of multiple antennas requires radio frequency chains which are expensive and energy consumption. Also, after using antenna selection, the system performance is better than not using antenna selection in correlated channel. Dealing with these issues, antenna selection is proposed. It is a low-cost method to achieve the advantages of MIMO, e.g. minimize the error probability, maximise the capacity. The project focuses on the antenna selection in the correlated channels and sets the selection goal maximized the channel capacity e.g. Ergodic capacity. The MIMO system is assumed without the CSI at transmitter, thus water-filling cannot be used. In the project, the low-complexity antenna selection (LCSA) algorithms will be focused on which can approach to optimal capacity. LCSA is designed to select the best antenna set which maximizes the determinant of the known correlation matrix. The simulation will validate the LCSA obtains close performance as the optimum antenna selection with low complexity.