Title :
Maximizing SINR in DL MU-MIMO system on SDP algorithm
Author :
Yuhua Guo ; Wenbao Ai
Author_Institution :
Sch. of Sci., Beijing Univ. of Posts & Tele-Commun., Beijing, China
Abstract :
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 user´s 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.
Keywords :
MIMO communication; concave programming; quadratic programming; radio links; DL MU-MIMO system; SDP algorithm; SINR maximization; downlink multiuser multiple-input multiple-output system; inequality constraints; nonconvex quadratic optimization problem; semidefinite programming algorithm; signal to interference and noise ratio maximization; user transmitted power constraint; ratio of quadratic functions optimization model; semi-definite programming; signal to interference and noise ratio; uplink and downlink duality;
Conference_Titel :
Communication Technology (ICCT), 2012 IEEE 14th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-2100-6
DOI :
10.1109/ICCT.2012.6511392
