Performance of Pre-processing Schemes with Imperfect Channel State Information

Søren Skovgaard Christensen, Persa Kyritsi, Elisabeth De Carvalho, Petar Popovski, Peter Koch

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Abstract

Pre-processing techniques have several benefits when the CSI is perfect. In this work we investigate three linear pre-processing filters, assuming imperfect CSI caused by noise degradation and channel temporal variation. Results indicate, that the LMMSE filter achieves the lowest BER and the highest SINR when the CSI is perfect, whereas the simple matched filter may be a good choice when the CSI is imperfect. Additionally the results give insight into the inherent trade-off between robustness against CSI imperfections and spatial focusing ability.
Original languageEnglish
Title of host publicationInternational Conference on Telecommunications (ICT) Funchal, Madeira Island, Portugal
Publication date2006
Publication statusPublished - 2006
EventPerformance of Pre-processing Schemes with Imperfect Channel State Information -
Duration: 19 May 2010 → …

Conference

ConferencePerformance of Pre-processing Schemes with Imperfect Channel State Information
Period19/05/2010 → …

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