Maximum Sum Rate Precoding design for MIMO Downlink Systems

• Main Authors: Jing-Kai Wang, 王俊凱
• Other Authors: Wan-Jen Huang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/19438131100265401285

碩士 === 國立中山大學 === 通訊工程研究所 === 103 === The system architecture of the paper is multi-user multiple-input multiple-output system, and the main discussion in the case of perfect channel information, we design precoding vectors which make transmission rate maximum in multi-user multiple-input multiple-output system in the base station, and we design decoding vector which decode base station transmission message in the user-side. In the process of the calculation of the total transmission rate in a perfect CSI, since the decoding vectors of the users contain the pre-coding vector, we will use iterative algorithms in the precoding vector design. In each of the different conditions, we will randomly generate channels which set an initial set of pre-encoding vector, and using iterative algorithm which makes signal-to-interference-plus-noise ratio reaches convergence, and transfer rate reach the maximum in this time. In the simulation results, we analyze the difference of the number of base station antenna and user antenna, and the number of user, and observe the changes of the total transmission rate in the whole system, and the number of user increases, the total transmission rate will be obviously increased. While in the case of erroneous information channel, we will adjust the variance of the estimation error, and observe its changes, but also compare the perfect channel and the channel of estimation error.