Min-max MSE precoding for broadcast channels based on statistical channel state information

Rachid El Assir, Frank A. Dietrich, Michael Joham, Wolfgang Utschick

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

3 Scopus citations

Abstract

Linear precoding for the wireless MIMO broadcast channel with multiple antennas at the transmitter and non-cooperative single antenna receivers is considered. For statistical channel state information (CSI) at the transmitter a novel optimization problem for adaptive precoding based on the mean square error (MSE) is solved, which can also deal with incomplete CSI at the receivers, i.e., the receivers' channel estimates rely on a common pilot channel. We explicitly model the receivers' (limited) processing capabilities, which leads to a performance advantage over existing signal-to-interference-and-noise-ratio (SINR) approaches.

Original languageEnglish
Title of host publication2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
DOIs
StatePublished - 2006
Event2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC - Cannes, France
Duration: 2 Jul 20065 Jul 2006

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Conference

Conference2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Country/TerritoryFrance
CityCannes
Period2/07/065/07/06

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