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    Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver

    152291_152291.pdf (372.2Kb)
    Access Status
    Open access
    Authors
    Toding, Apriana
    Khandaker, Muhammad
    Rong, Yue
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Toding, Apriana and Khandaker, Muhammad R.A. and Rong, Yue. 2010. Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver, in Al-Anbuky, A. (ed), 16th Asia-Pacific Conference on Communications, Nov 1 2010, pp. 12-16. Auckland, New Zealand: IEEE.
    Source Title
    Proceedings of the 16th Asia-Pacific Conference on Communications
    Source Conference
    16th Asia-Pacific Conference on Communications
    ISBN
    9781424481279
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2010 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/11289
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we study the optimal structure of the source precoding matrix and the relay amplifying matrices for multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes. In particular, a nonlinear decision feedback equalizer (DFE) is used at the destination node, and the minimal mean-squared error (MMSE) criterion is used to detect the transmitted signal at each stream. We show that the optimal source precoding matrix and the optimal relay amplifying matrices have a beamforming structure. Using such optimal source and relay matrices and the MMSE-DFE receiver, a joint source and relay power loading algorithm is developed to minimize the MSE of the signal waveform estimation. Compared with existing algorithms for parallel MIMO relay networks, theproposed source and relay design together with the MMSE-DFE receiver has a significant improvement in the system bit-errorrate performance.

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