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    Achievable rates of full-duplex MIMO radios in fast fading channels with imperfect channel estimation

    199768_199768.pdf (530.1Kb)
    Access Status
    Open access
    Authors
    Cirik, A.
    Rong, Yue
    Hua, Y.
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Cirik, A. and Rong, Y. and Hua, Y. 2014. Achievable rates of full-duplex MIMO radios in fast fading channels with imperfect channel estimation. IEEE Transactions on Signal Processing. 62 (15): pp. 3874-3886.
    Source Title
    IEEE Transactions on Signal Processing
    DOI
    10.1109/TSP.2014.2330806
    ISSN
    1053-587X
    School
    Department of Electrical and Computer Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP140102131
    Remarks

    Copyright © 2014 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/20.500.11937/17749
    Collection
    • Curtin Research Publications
    Abstract

    We study the theoretical performance of two full-duplex multiple-input multiple-output (MIMO) radio systems: a full-duplex bi-directional communication system and a full-duplex relay system. We focus on the effect of a (digitally manageable) residual self-interference due to imperfect channel estimation (with independent and identically distributed (i.i.d.) Gaussian channel estimation error) and transmitter noise. We assume that the instantaneous channel state information (CSI) is not available the transmitters. To maximize the system ergodic mutual information, which is a non-convex function of power allocation vectors at the nodes, a gradient projection algorithm is developed to optimize the power allocation vectors. This algorithm exploits both spatial and temporal freedoms of the source covariance matrices of the MIMO links between transmitters and receivers to achieve higher sum ergodic mutual information. It is observed through simulations that the full-duplex mode is optimal when the nominal self-interference is low, and the half-duplex mode is optimal when the nominal self-interference is high. In addition to an exact closed-form ergodic mutual information expression, we introduce a much simpler asymptotic closed-form ergodic mutual information expression, which in turn simplifies the computation of the power allocation vectors.

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    • Fairness Considerations in Full-Duplex MIMO Interference Channels
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      In-band (cochannel) full-duplex multiple-Input multiple-output (MIMO) radios employ independent transmit and receive antenna arrays to enable simultaneous transmission and reception. One of the most significant challenges ...
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