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    Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems

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    10.1109-TCOMM.2016.2599520.pdf
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Sboui, Lokman cc
    Ghazzai, Hakim cc
    Rezki, Zouheir cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2016-08-11
    Online Publication Date
    2016-08-11
    Print Publication Date
    2016
    Permanent link to this record
    http://hdl.handle.net/10754/620946
    
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    Abstract
    In this paper, we study a multiple-antenna two-way relaying (TWR) cognitive radio (CR) system. A space alignment (SA) technique is adopted by the secondary users (SUs) to avoid interference with the primary users (PUs). We derive the optimal power allocation that maximizes the TWR achievable SU sum- rate while respecting the total power budget and the relay power constraints. We also analyze the case in which the relay is able to optimize its gain matrix structure to enhance the SU sum-rate. In the numerical results, we quantify the sum-rate gain of using the SA in the TWR CR and we show that the SU sum-rate is very limited when the relay power is low or the PU power and its resulting interference are high. In addition, we optimize the relay gain using an iterative algorithm and compare between different relay matrix structures.
    Citation
    Sboui L, Ghazzai H, Rezki Z, Alouini M-S (2016) Precoder Design and Power Allocation for MIMO Cognitive Radio Two-Way Relaying Systems. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2016.2599520.
    Sponsors
    This work was supported by the Qatar National Research Fund (a member of Qatar Foundation) under NPRP Grant NPRP 6-001-2-001
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2016.2599520
    Additional Links
    http://ieeexplore.ieee.org/document/7542139/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2016.2599520
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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