Title :
A precoding algorithm for collaborative MIMO system
Author :
Donglai Hao ; Xiangyang Liu ; Donghong Xie
Author_Institution :
Dept. of Inf. Transm., Xi´an Commun. Inst., Xi´an, China
Abstract :
On the research of coordinated multi-point MIMO systems, a new precoding scheme is proposed for maximizing the weighted sum rates. Construction of the objective function is based on convex optimization theory and the solution to the precoding vector is depended on iterative algorithm. Compared with existing algorithms, the application of the algorithm is not limited to the number of transmit and receive antennas, the threshold of iteration and number of cell coordinated clusters can be adjusted to achieve a reasonable tradoff between complexity and system capacity. Finally the proposed algorithm is compared with conventional algorithms and convergence of utility function is also discussed by simulation. The results show that the proposed algorithm performs better than those of existing schemes in system capacity.
Keywords :
MIMO systems; convex programming; iterative methods; precoding; receiving antennas; transmitting antennas; block diagonal precoding algorithm; cell coordinated clusters; collaborative MIMO system; convex optimization theory; coordinated multipoint MIMO systems; iterative algorithm; precoding vector; receive antennas; sum rate maximization; system capacity; transmit antennas; utility function; Clustering algorithms; Collaboration; Interference; Linear programming; MIMO; Matrix decomposition; Signal processing algorithms; Multiple-Input Multiple-Output(MIMO); convex optimization; precoding coordinated multi-point;
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
DOI :
10.1109/ICSPCC.2013.6664084