A Unified Linear MSE Minimization MIMO Beamforming Design Based on Quadratic Matrix Programming
Information Theory
2013-01-10 v3 math.IT
Abstract
In this paper, we investigate a unified linear transceiver design with mean-square-error (MSE) as the objective function for a wide range of wireless systems. The unified design is based on an elegant mathematical programming technology namely quadratic matrix programming (QMP). It is revealed that for different wireless systems such as multi-cell coordination systems, multi-user MIMO systems, MIMO cognitive radio systems, amplify-and-forward MIMO relaying systems, the MSE minimization beamforming design problems can always be solved by solving a number of QMP problems. A comprehensive framework on how to solve QMP problems is also given.
Cite
@article{arxiv.1208.3390,
title = {A Unified Linear MSE Minimization MIMO Beamforming Design Based on Quadratic Matrix Programming},
author = {Chengwen Xing and Zesong Fei and Shaodan Ma and Jingming Kuang and Yik-Chung Wu},
journal= {arXiv preprint arXiv:1208.3390},
year = {2013}
}
Comments
6 Pages WCSP 2012 Final Version