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    Robust Transceiver Design for Multi-Hop AF MIMO Relay Multicasting from Multiple Sources

    88751.pdf (1.628Mb)
    Access Status
    Open access
    Authors
    Bing, Justin Lee
    Gopal, Lenin
    Rong, Yue
    Chiong, Raymond
    Zang, Zhuquan
    Date
    2021
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Bing, J.L. and Gopal, L. and Rong, Y. and Chiong, C.W.R. and Zang, Z. 2021. Robust Transceiver Design for Multi-Hop AF MIMO Relay Multicasting from Multiple Sources. IEEE Transactions on Vehicular Technology. 70 (2): pp. 1565-1576.
    Source Title
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2021.3054481
    ISSN
    0018-9545
    Faculty
    Global Curtin
    Faculty of Science and Engineering
    School
    Global Curtin
    School of Elec Eng, Comp and Math Sci (EECMS)
    Remarks

    © 2021 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/20.500.11937/88927
    Collection
    • Curtin Research Publications
    Abstract

    In this article, the transceiver design optimization problem is investigated for multi-hop multicasting amplify-and-forward (AF) multiple-input multiple-output (MIMO) relay systems, where multiple source nodes broadcast their message to multiple destination nodes via multiple serial relay nodes. Multiple antennas are installed at the sources, relays, and the destination nodes. In the transceiver design, we consider the mismatch between the true and the estimated channel state information (CSI), where the CSI mismatch follows the Gaussian-Kronecker model. A robust transceiver design algorithm is developed to jointly optimize the source, relay, and destination matrices to minimize the maximal weighted mean-squared error (WMSE) of the received message at all destination nodes. In particular, the WMSE is made statistically robust against the CSI mismatch by averaging through the distributions of the true CSI. Moreover, the WMSE decomposition is exploited to reduce the computational complexity of the transceiver optimization. Numerical simulations show a better performance of the proposed robust transceiver design against the channel mismatch.

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