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    Design of Amplify and Forward MIMO Relay Networks with QoS Constraint

    152290_152290.pdf (190.8Kb)
    Access Status
    Open access
    Authors
    Mohammadi, J.
    Gao, F.
    Rong, Yue
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Mohammadi, Jafar and Gao, Feifei and Rong, Yue. 2010. Design of Amplify and Forward MIMO Relay Networks with QoS Constraint, in Wang, H. (ed), 53rd IEEE Global Telecommunications Conference, Dec 6 2010. Miami, FL, USA: Institute of Electrical and Electronic Engineers (IEEE).
    Source Title
    Proceedings of 53rd IEEE Global Telecommunications Conference
    Source Conference
    53rd IEEE Global Telecommunications Conference
    ISBN
    9781424456383
    School
    Department of Electrical and Computer Engineering
    Remarks

    Copyright © 2010 IEEEThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/47712
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we design the optimal precoding matrices for amplify-and-forward (AF) multiple-input multipleoutput(MIMO) relay networks. Specifically, we consider a dualhop relay network and minimize the total power consumed bysource and relay under predetermined quality of service (QoS) constraints, i.e., mean square error (MSE) constraints. By using majorization theory, we simplify the matrix-valued problem into a scalar-valued one. Since the problem is non-convex, we then propose two convex suboptimal problems that provide the upper and lower bound of the original objectives. Numerical results demonstrate that the lower bound and the upper bound are tight in high signal-to-noise ratio (SNR).

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