SVD-based MIMO Precoding and Equalization Schemes for Realistic Channel Knowledge: Design Criteria and Performance Evaluation

Authors:
Holger Busche;Alexandre Vanaev;Hermann Rohling
Affiliations:
Department of Telecommunications, Hamburg University of Technology (TUHH), Hamburg, Germany 21073;Department of Telecommunications, Hamburg University of Technology (TUHH), Hamburg, Germany 21073;Department of Telecommunications, Hamburg University of Technology (TUHH), Hamburg, Germany 21073
Venue:
Wireless Personal Communications: An International Journal
Year:
2009

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Abstract

Multiple-input multiple-output (MIMO) based communication systems with precoding, bit-loading and equalization procedures are considered in this paper. Applications of precoding schemes, which are based on Singular Value Decomposition (SVD) of the channel matrix H assume almost always ideal channel knowledge at the transmitter and/or receiver site. This paper investigates an SVD based MIMO approach considering non ideal radio channel estimation results. In any case the MIMO channel matrix H is decomposed into Eigenmodes. In case of an ideal radio channel knowledge the SVD based precoding procedure, which is applied at the transmitter site, is going to consider all possible Eigenmodes which results in a perfect separation of all signals at the receive antenna output and into a minimum bit-error-rate (BER). It will be shown in this paper that in case of non ideal channel knowledge and a limited accuracy in the channel matrix H estimation a reduced number of Eigenmodes in the precoding process will become an optimum and will lead into an increased BER performance.