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Channel prediction for precoded spatial multiplexing multiple-input multiple-output systems in time-varying fading channels

Lookup NU author(s): Abdullatif Khrwat, Professor Bayan Sharif, Professor Harris Tsimenidis, Professor Said Boussakta


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Conventional precoded spatial multiplexing multiple-input multiple-output (MIMO) systems using limited feedback are mainly based on the notion of time invariant channels throughout transmission. Consequently, the precoding matrix can be found during the training symbols and used over the subsequent data symbols. In this study, the authors consider a more practical system where the channel varies from one block of symbols to another. In such a scenario, the precoding matrix designed at the receiver based on the previous training symbols becomes outdated, which results in significant system performance degradation. In order to avoid this problem and reduce performance degradation, the authors propose the use of a Kalman filter linear predictor at the receiver to provide the transmitter with the precoding matrix for the next block of symbols. The performance of this method is assessed using computer simulation, and the obtained results for the proposed channel prediction demonstrate improved bit error rate performance for time-varying Rayleigh fading channels.

Publication metadata

Author(s): Khrwat AS, Sharif BS, Tsimenidis CC, Boussakta S

Publication type: Article

Publication status: Published

Journal: IET Signal Processing

Year: 2009

Volume: 3

Issue: 6

Pages: 459-466

ISSN (print): 1751-9675

ISSN (electronic): 1751-9683

Publisher: The Institution of Engineering and Technology


DOI: 10.1049/iet-spr.2009.0019


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