Antenna selection based on mutual coupling and spatial correlation among integrated antennas for maximum energy efficiency

Recently, many antennas are used to increase data rate in multiple input multiple output (MIMO) system to satisfy user's requirement. However, power consumption is increased significantly when many antennas are used. As importances of economic and environment benefits have arised, consumed power have to be handled through maximizing energy efficiency (EE). EE can be increased using antenna selection which can reduce power consumed in radio frequency (RF) chains. On the other hand, there is a limited space to integrate many antennas. Integrating many antennas in fixed space causes significant quantities of mutual coupling and spatial correlation between antennas. Therefore, mutual coupling and spatial correlation have to be considered when EE is maximized through antenna selection in practical system. In this paper, antenna selection algorithm is proposed considering mutual coupling and spatial correlation between antennas in the situation where antennas are integrated in fixed space. Mutual coupling and spatial correlation are reflected by electromagnetic (EM) simulation tool to consider more practical system. Then, performance of the proposed antenna selection algorithm is analyzed compared to three methods which are exhaustive search method, conventional algorithm and random selection method. Also, performances of the proposed algorithm are investigated in different environments where channel condition is different and minimum rate is required.