Stochastic transceiver design in multi-antenna channels with statistical channel state information

Andreas Gründinger, Michael Joham, Wolfgang Utschick

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

6 Scopus citations

Abstract

The problem of stochastic robust sum mean square error (MSE) minimization transceiver design is addressed for multiple-input multiple-output (MIMO) broadcast channels (BCs). The transmitter has only distribution knowledge of the doubly correlated Gaussian channels and the receivers have complete channel state information (CSI). The design is based on an alternating optimization (AO) of the transmit and receive filters. For the users' minimum MSEs (MMSEs), i.e., the achieved MSEs using MMSE equalizers, and the expectations in the AO procedure, novel closed form expressions are calculated via first and second order derivatives of suitable ergodic mutual information expressions.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages3420-3423
Number of pages4
DOIs
StatePublished - 2011
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 22 May 201127 May 2011

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/TerritoryCzech Republic
CityPrague
Period22/05/1127/05/11

Keywords

  • Multiple-input multiple-output (MIMO)
  • minimum mean square error (MMSE)
  • robust transceiver design

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