A unified linear MSE minimization MIMO beamforming design based on quadratic matrix programming

Chengwen Xing, Zesong Fei, Shaodan Ma, Jingming Kuang, Yik Chung Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012 - Huangshan, China
Duration: 25 Oct 201227 Oct 2012

Publication series

Name2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012

Conference

Conference2012 International Conference on Wireless Communications and Signal Processing, WCSP 2012
Country/TerritoryChina
CityHuangshan
Period25/10/1227/10/12

Keywords

  • MSE
  • Quadratic matrix programming
  • optimization
  • transceiver design

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