Title :
A Fast Low Complexity Method for Optimal Zero-Forcing Beamformer MU-MIMO System
Author :
Dam, Hai Huyen ; Cantoni, Antonio ; Bin Li
Author_Institution :
Dept. of Math. & Stat., Curtin Univ., Perth, WA, Australia
Abstract :
This letter proposes a new algorithm for solving the optimal zero-forcing beamforming problem that maximizes the user achievable rate with restriction on the per-antenna element power constraints. An accelerated gradient method with step size search is proposed for solving the problem. For each iteration of the gradient approach, a quick one dimensional search is employed to obtain the step size. The advantage of the step-size search is that it is relatively fast and requires only a few calculations of the objective function. Design examples show that the proposed algorithm converges faster than the gradient approach and the accelerated gradient approach with a constant step size while achieving a low computational complexity.
Keywords :
MIMO communication; array signal processing; computational complexity; gradient methods; multiuser channels; MU-MIMO system; accelerated gradient method; computational complexity; fast low complexity method; gradient approach iteration; multiuser multiple input multiple output systems; one dimensional search; optimal zero-forcing beamforming problem; per-antenna element power constraints; user achievable rate; Acceleration; Array signal processing; Complexity theory; Convergence; Gradient methods; Signal processing algorithms; Vectors; Accelerated gradient method; MU-MIMO; beamformer; optimal step size; optimum zero-forcing; per-antenna power constraints;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2407903