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    Channel training algorithms for two-way MIMO relay systems

    192132_192132.pdf (275.9Kb)
    Access Status
    Open access
    Authors
    Chiong, Choo
    Rong, Yue
    Xiang, Y.
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Chiong, Choo W.R. and Rong, Yue and Xiang, Yong. 2013. Channel training algorithms for two-way MIMO relay systems. IEEE Transactions on Signal Processing. 61 (16): pp. 3988-3998.
    Source Title
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2013.2265223
    ISSN
    1053-587X
    Remarks

    Copyright © 2013 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/20.500.11937/40681
    Collection
    • Curtin Research Publications
    Abstract

    Two-way relay systems are known to be capable of providing higher spectral efficiency compared with conventional one-way relay systems. However, the channel estimation problem for two-way relay systems is more complicated than that of one-way relay systems. In this paper, we propose and compare two channel estimation algorithms, namely the superimposed channel training scheme and the two-stage channel estimation algorithm, for two-way multiple-input multiple-output (MIMO) relay communication systems, where the individual channel state information (CSI) for the first-hop and second-hop links is estimated. For both algorithms, we derive the optimal structure of the source and relay training sequences which minimize the mean-squared error (MSE) of channel estimation. In the superimposed channel training scheme, the power allocation between the source and relay training sequences is optimized. For the two-stage channel estimation algorithm, we optimize the power allocation at the relay node between two stages to improve the performance of the algorithm. Numerical examples are shown to demonstrate and compare the performance of the proposed channel training algorithms.

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