Maximizing SINR in DL MU-MIMO System on SDP Algorithm

摘要：

　　In this paper a semi-definite programming (SDP) algorithm is considered for solving a non-convex quadratic optimization problem with inequality constraints.This algorithm is used for a model of maximizing signal to interference and noise ratio (SINR) with the constraint of each users transmitted power in the downlink multiuser multiple-input and multiple-output (DL MU-MIMO) system that can get the optimal value of each user’s SINR.Compared with the block diagonalization (BD) method and the Generalized Zero-Forcing Channel Inversion (GZI) method,the SDP algorithm shows better performance.

关键词： signal to interference and noise ratio semi-definite programming ratio of quadratic functions optimization model uplink and downlink duality

作者: Yuhua Guo Wenbao Ai

作者单位: School of Science Beijing University of Posts and Tele-communications Beijing, China

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 1369-1372

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）