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    Antenna selection in MIMO cognitive radio-inspired NOMA systems

    Access Status
    Fulltext not available
    Authors
    Yu, Yu
    Chen, H.
    Li, Y.
    Ding, Z.
    Zhuo, L.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Yu, Y. and Chen, H. and Li, Y. and Ding, Z. and Zhuo, L. 2017. Antenna selection in MIMO cognitive radio-inspired NOMA systems. IEEE Communications Letters. 21 (12): pp. 2658-2661.
    Source Title
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2017.2750153
    ISSN
    1089-7798
    School
    School of Pharmacy and Biomedical Sciences
    URI
    http://hdl.handle.net/20.500.11937/70143
    Collection
    • Curtin Research Publications
    Abstract

    This letter investigates a joint antenna selection (AS) problem for a MIMO cognitive radio-inspired non-orthogonal multiple access network. In particular, a new computationally efficient joint AS algorithm, namely subset-based joint AS (SJ-AS), is proposed to maximize the signal-to-noise ratio of the secondary user under the condition that the quality of service of the primary user is satisfied. The asymptotic closed-form expression of the outage performance for SJ-AS is derived, and the minimal outage probability achieved by SJ-AS among all possible joint AS schemes is proved. The provided numerical results demonstrate the superior performance of the proposed scheme.

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