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    Transmit Antenna Selection for Power Adaptive Underlay Cognitive Radio with Instantaneous Interference Constraint

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    Type
    Article
    Authors
    Hanif, Muhammad
    Yang, Hong-Chuan
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2017-03-31
    Online Publication Date
    2017-03-31
    Print Publication Date
    2017-06
    Permanent link to this record
    http://hdl.handle.net/10754/625115
    
    Metadata
    Show full item record
    Abstract
    The high hardware cost associated with multiple antennas at the secondary transmitter of an underlay cognitive radio (CR) can be reduced by antenna selection. This paper analyzes different power adaptive transmit antenna selection (TAS) schemes for an underlay CR, which ensure that the instantaneous interference caused by the secondary transmitter to the primary receiver is below a predetermined level. We consider the optimal continuous power adaptive TAS and present a low-complexity antenna and power level selection scheme, named sequential antenna and power level selection scheme (SAPS), for discrete power adaptation. Exact statistical characterizations of the signal-to-interference plus noise ratio at the secondary receiver are derived for the considered schemes. Based on the newly derived statistics, we prove that the considered schemes achieve the highest diversity order equaling the number of antennas at the secondary transmitter. Further, we also derive a closed-form expression of the ergodic capacity for the underlay CR with SAPS scheme. Finally, we show that the proposed scheme outperforms existing schemes in terms of ergodic capacity.
    Citation
    Hanif M, Yang H-C, Alouini M-S (2017) Transmit Antenna Selection for Power Adaptive Underlay Cognitive Radio With Instantaneous Interference Constraint. IEEE Transactions on Communications 65: 2357–2367. Available: http://dx.doi.org/10.1109/TCOMM.2017.2690285.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Communications
    DOI
    10.1109/TCOMM.2017.2690285
    Additional Links
    http://ieeexplore.ieee.org/document/7890994/
    ae974a485f413a2113503eed53cd6c53
    10.1109/TCOMM.2017.2690285
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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