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    MSE-Based Transceiver Designs for Full-Duplex MIMO Cognitive Radios

    227749_227749.pdf (1.231Mb)
    Access Status
    Open access
    Authors
    Cirik, A.
    Wang, R.
    Rong, Yue
    Hua, Y.
    Date
    2015
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Cirik, A. and Wang, R. and Rong, Y. and Hua, Y. 2015. MSE-Based Transceiver Designs for Full-Duplex MIMO Cognitive Radios. IEEE Transactions on Communications. 63 (6): pp. 2056-2070.
    Source Title
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2015.2434385
    ISSN
    0090-6778
    School
    Department of Electrical and Computer Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP140102131
    URI
    http://hdl.handle.net/20.500.11937/40399
    Collection
    • Curtin Research Publications
    Abstract

    We study two scenarios of full-duplex (FD) multiple-input-multiple-output cognitive radio networks: FD cognitive ad hoc networks and FD cognitive cellular networks. In FD cognitive ad hoc networks (also referred as interference channels), each pair of secondary users (SUs) operate in FD mode and communicate with each other within the service range of primary users (PUs). Each SU experiences not only self-interference but also interuser interference from all other SUs, and all SUs generate interference on PUs. We address two optimization problems: one is to minimize the sum of mean-squared errors (MSE) of all estimated symbols, and the other is to minimize the maximum per-SU MSE of estimated symbols, both of which are subject to power constraints at SUs and interference constraints projected to each PU. We show that these problems can be cast as a second-order cone programming, and joint design of transceiver matrices can be obtained through an iterative algorithm. Moreover, we show that the proposed algorithm is not only applicable to interference channels but also to FD cellular systems, in which a base station operating in FD mode simultaneously serves multiple uplink and downlink users, and it is shown to outperform HD scheme significantly.

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