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    Simplified Robust Design for Nonregenerative Multicasting MIMO Relay Systems

    227745_227745.pdf (198.8Kb)
    Access Status
    Open access
    Authors
    Gopal, Lenin
    Rong, Yue
    Zang, Zhuquan
    Date
    2015
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Gopal, L. and Rong, Y. and Zang, Z. 2015. Simplified Robust Design for Nonregenerative Multicasting MIMO Relay Systems, in Jamalipour, A. (ed), Proceedings of the 22nd International Conference on Telecommunications, Apr 27-29 2015, pp. 289-293. Sydney, Australia: IEEE.
    Source Title
    Proceedings of the 22nd International Conference on Telecommunications
    Source Conference
    The 22nd International Conference on Telecommunications
    DOI
    10.1109/ICT.2015.7124698
    ISBN
    978-1-4799-8078-9
    School
    Curtin Sarawak
    Remarks

    Copyright © 2015 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/20.500.11937/18657
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we propose a robust transceiver design for nonregenerative multicasting multiple-input multiple-output (MIMO) relay systems where a transmitter broadcasts common message to multiple receivers with aid of a relay node and the transmitter, relay and receivers are all equipped with multiple antennas. In the proposed design, the actual channel state information (CSI) is assumed as a Gaussian random matrix with the estimated CSI as the mean value, and the channel estimation errors are derived from the well-known Kronecker model. In the proposed design scheme, the transmitter and relay precoding matrices are jointly optimized to minimize the maximal mean squared-error (MSE) of the estimated signal at all receivers. The optimization problem is highly nonconvex in nature. Hence, we propose a low complexity solution by exploiting the optimal structure of the relay precoding matrix. Numerical simulations demonstrate the improved robustness of the proposed transceiver design algorithm against the CSI mismatch.

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