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    MMSE-based joint source and relay optimization for interference MIMO relay systems

    227748_154629_s13638-015-0307-4.pdf (1.173Mb)
    227747_149605_1082449281140639_article.pdf (236.8Kb)
    Access Status
    Open access
    Authors
    Nguyen, Khoa Xuan
    Rong, Yue
    Nordholm, Sven
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Nguyen, K.X. and Rong, Y. and Nordholm, S. 2015. MMSE-based joint source and relay optimization for interference MIMO relay systems. Eurasip Journal on Wireless Communications and Networking. 2015 (73).
    Source Title
    Eurasip Journal on Wireless Communications and Networking
    DOI
    10.1186/s13638-015-0307-4
    ISSN
    1687-1499
    School
    Department of Electrical and Computer Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP140102131
    Remarks

    This open access article is distributed under the Creative Commons license http://creativecommons.org/licenses/by/4.0/

    URI
    http://hdl.handle.net/20.500.11937/41713
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we investigate the transceiver design for amplify-and-forward (AF) interference multiple-input multiple-output (MIMO) relay communication systems when the direct links between the source and destination nodes are taken into consideration. The minimum mean-squared error (MMSE) of the signal waveform estimation at the destination nodes is chosen as the design criterion to optimize the source, relay, and receiver matrices for interference suppression. As the joint source, relay, and receiver optimization problem is nonconvex with matrix variables, a globally optimal solution is computationally intractable to obtain. We propose two iterative algorithms to provide computationally efficient solutions to the original problem through solving convex subproblems. These two algorithms provide efficient performance-complexity trade-off. Simulation results demonstrate that the proposed algorithms converge quickly after a few iterations and significantly outperform existing scheme in terms of the system bit error rate.

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