The complexity analysis and performance comparison of MIMO systems based on antenna selection techniques
Yisong Lin1, Mingjie Zhuang2
1School of Information Science and Engineering, Huaqiao University, Xiamen 361021, China
2College of engineering, MJZhuang176@163.com, Huaqiao University, Quanzhou, 362021, China
MIMO systems, also known as multiple-input multiple-output, can effectively improve the capacity and reliability of wireless communication. Antenna selection (AS) is a low-cost low-complexity attractive approach in MIMO systems that capture many advantages of these systems. In this paper, we comprehensively review and describe various kinds of AS schemes in MIMO systems. First, we discuss the techniques of antenna selection from the perspective of different channel environments. Analysis results show that exploiting the AS technique can avoid sending redundant information and improve the channel capacity in the low rank and correlated channel conditions. Then the applications of AS systems in spatial diversity and spatial multiplexing are considered. In order to reduce the complexity of AS algorithm, we propose a novel joint transmit and receive AS scheme in MIMO systems. The results of simulations demonstrate that the proposed AS method of performance outperforms other methods, and the proposed algorithm can significantly reduce computational complexity compared to the optimum algorithm. Finally, we summarize some conclusions about the antenna selection.