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    Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems

    187143_187143.pdf (182.4Kb)
    Access Status
    Open access
    Authors
    Khandaker, Muhammad
    Rong, Yue
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Khandaker, M. R. A. and Rong, Yue. 2012. Joint Transceiver Optimization for Multiuser MIMO Relay Communication Systems. IEEE Transactions on Signal Processing. 60 (11): pp. 5977-5986.
    Source Title
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2012.2212013
    ISSN
    1053-587X
    Remarks

    © 2012 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/20.500.11937/13180
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we address the optimal source, relay, and receive matrices design for linear non-regenerative uplink multiuser multiple-input multiple-output (MIMO) relay communication systems. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination node is adopted as our design criterion. We develop two iterative methods to solve the highly nonconvex joint source, relay, and receiver optimization problem. In particular, we show that for given source precoding matrices, the optimal relay amplifying matrix diagonalizes the source-relay-destination channel. While for fixed relay matrix and source matrices of all other users, the source matrix of each user has a general beamforming structure. Simulation results demonstrate that the proposed iterative source and relay optimization algorithms perform much better than existing techniques in terms of both MSE and bit-error-rate.

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