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    Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach

    202685_202685.pdf (217.3Kb)
    Access Status
    Open access
    Authors
    Toding, Apriana
    Khandaker, Muhammad
    Rong, Yue
    Date
    2014
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Toding, A. and Khandaker, M. and Rong, Y. 2014. Transceiver Optimization for MIMO Multi-Relay Systems Using Projected Gradient Approach, in S. Hanly (ed), The International Symposium on Information Theory and Its Applications, Oct 26-29 2014, pp. 635-639. Melbourne, Australia: IEEE.
    Source Title
    Proceedings of the International Symposium on Information Theory and Its Applications
    Additional URLs
    http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6979921v
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/23371
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifyingmatrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the mean-squared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.

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