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    Channel Covariance Information Based Transceiver Design for AF MIMO Relay Systems with Direct Link

    187144_187144.pdf (123.5Kb)
    Access Status
    Open access
    Authors
    Gopal, Lenin
    Rong, Yue
    Zang, Zhuquan
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Gopal, Lenin and Rong, Yue and Zang, Zhuquan. 2012. Channel Covariance Information Based Transceiver Design for AF MIMO Relay Systems with Direct Link, in Youze Cho (ed), The 18th Asia-Pacific Conference on Communications, Oct 15-17 2012. Jeju Island, Korea: IEEE.
    Source Title
    Proceedings of the 18th Asia-Pacific Conference on Communications
    Source Conference
    The 18th Asia-Pacific Conference on Communications
    DOI
    10.1109/APCC.2012.6388090
    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/20.500.11937/38324
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we propose a design scheme for amplify-and-forward multiple-input multiple-output (AF MIMO) relay system with direct link to minimize the mean-squared error (MSE) of the signal estimation at the destination. In the proposed design scheme, an optimal precoding matrix is derived with the assumption that the full channel state information (CSI) of the source-relay link and partial channel state information such as channel covariance information (CCI) of the relay-destination link are available at the relay. In practical cases, if the destination is closer to the source, the source-destination link cannot be ignored. Hence, in this paper, we assume that the relay knows the partial channel state information of the source-destination link. Based on this assumption, an iterative optimal covariance algorithm is developed to achieve the minimum MSE of the signal estimation at the destination. In order to reduce computational complexity of the proposed optimal covariance algorithm, a suboptimal covariance algorithm is proposed. A numerical example shows that the developed optimal covariance algorithm outperforms the conventional CCI based MSE algorithms.

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