Linear precoding based on a stochastic MSE criterion

Frank A. Dietrich, Wolfgang Utschick, Peter Breun

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

6 Scopus citations

Abstract

The performance of algorithms for preprocessing the signal at the transmitter in mobile communications is severely limited by the amount of available channel state information (CSI). The channel can be modeled as random variable conditioned on a delayed and noisy observation of the channel realization. We introduce novel criteria for linear precoding based on an MMSE criterion, which is stochastic due to the transmitter's channel model. Moreover, employing an estimation theoretic perspective, a new model for the receivers' processing is incorporated into the optimization. We show that the transmitter's partial CSI can is exploited efficiently by this design method and leads to combined linear precoding and channel estimation, which contains the categories of complete and statistical CSI as asymptotic cases.

Original languageEnglish
Title of host publication13th European Signal Processing Conference, EUSIPCO 2005
Pages1011-1014
Number of pages4
StatePublished - 2005
Event13th European Signal Processing Conference, EUSIPCO 2005 - Antalya, Turkey
Duration: 4 Sep 20058 Sep 2005

Publication series

Name13th European Signal Processing Conference, EUSIPCO 2005

Conference

Conference13th European Signal Processing Conference, EUSIPCO 2005
Country/TerritoryTurkey
CityAntalya
Period4/09/058/09/05

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