Abstract
Massive MIMO systems are popularly discussed among ICTs academic members presently. The systems applied a large numbers of transmitted antennas to transmit signals to receiver which had improved data rate and error rate. The systems proved to work out better than traditional MIMO systems in short-distance transmission. To apply the Massive MIMO systems, the Base station must installs a lot of antennas and the installment costs spaces. In this paper, I would like to introduce a 2 dimensional planar antenna array to improve space eciency. Moreover, the applying of large numbers of antennas has hiked the complexity of radio frequency chains. To reduce the complexity of hardware, it has 2 possible methods to solve this problem, one of them is using the antenna selection before the signal precoding process to lower the number of used antennas, and another method is using the hybrid precoding process to decrease the complexity of the precoding circuit. In this thesis, we are not only analyzed the e ect of the antenna selection and the property of millimeter wave channel model, but also proposed a new modi cation algorithm of joint RF and baseband precoding scheme. Comparing the other algorithms which are relative with the joint RF and baseband precoding scheme, the new algorithm is able to reduce the computational complexity and increase the high parallelism hardware architecture. Moreover, it can signi cantly reduce the area of hardware implementation. The proposed algorithm of precoding for 16x8 two dimensional planar antenna array MIMO systems can supposes in four-, three-, two-, and one-stream modes, respectively.