2 research outputs found
How to Understand LMMSE Transceiver Design for MIMO Systems From Quadratic Matrix Programming
In this paper, a unified linear minimum mean-square-error (LMMSE) transceiver
design framework is investigated, which is suitable for a wide range of
wireless systems. The unified design is based on an elegant and powerful
mathematical programming technology termed as quadratic matrix programming
(QMP). Based on QMP it can be observed that for different wireless systems,
there are certain common characteristics which can be exploited to design LMMSE
transceivers e.g., the quadratic forms. It is also discovered that evolving
from a point-to-point MIMO system to various advanced wireless systems such as
multi-cell coordinated systems, multi-user MIMO systems, MIMO cognitive radio
systems, amplify-and-forward MIMO relaying systems and so on, the quadratic
nature is always kept and the LMMSE transceiver designs can always be carried
out via iteratively solving a number of QMP problems. A comprehensive framework
on how to solve QMP problems is also given. The work presented in this paper is
likely to be the first shoot for the transceiver design for the future
ever-changing wireless systems.Comment: 31 pages, 4 figures, Accepted by IET Communication
A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming
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.Comment: 6 Pages WCSP 2012 Final Versio