Robust transmit beamforming based on probabilistic constraint

Huiqin Du, Pei Jung Chung, Jacek Gondzio, Bernard Mulgrew

Research output: Contribution to journalConference articlepeer-review

Abstract

Transmit beam-forming is a powerful technique for enhancing performance of wireless communication systems. Most existing transmit beam-forming techniques require perfect channel state information at the transmitter (CSIT), which is typically not available in practice. In such situations, the design should take into account errors in the channel estimates, so that the beamformers are less sensitive to these errors. Two robust approaches are widely used. The stochastic approach optimizes the average performance of the system and assumes that the statistics, such as mean and covariance, of the errors are known. The maximin approach assumes that the errors belong to a worst-case uncertainty region and optimizes the worst-case system performance. This type of design usually leads to conservative results as the worst-case conditions may occur at a very low probability. In this paper, we propose a more flexible approach that optimizes the average beam-forming performance and takes the extreme (but rare) conditions into account proportionally. Simulation results show that the proposed beam-former offers higher robustness against errors in CSIT than serval state-of-the-art beamformers. copyright by EURASIP.

Original languageEnglish
JournalEuropean Signal Processing Conference
Publication statusPublished - 1 Dec 2008
Event16th European Signal Processing Conference, EUSIPCO 2008 - Lausanne, Switzerland
Duration: 25 Aug 200829 Aug 2008

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