6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Impact of Antenna Selection on Cognitive Radio System Capacity

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.245900,
        author={Pawel Dmochowski and Peter Smith and Mansoor Shafi and Himal Suraweera},
        title={Impact of Antenna Selection on Cognitive Radio System Capacity},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={Antenna Selection Capacity Channel Knowledge},
        doi={10.4108/icst.crowncom.2011.245900}
    }
    
  • Pawel Dmochowski
    Peter Smith
    Mansoor Shafi
    Himal Suraweera
    Year: 2012
    Impact of Antenna Selection on Cognitive Radio System Capacity
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2011.245900
Pawel Dmochowski1,*, Peter Smith2, Mansoor Shafi3, Himal Suraweera4
  • 1: Victoria University of Wellington
  • 2: University of Canterbury
  • 3: Telecom New Zealand
  • 4: Singapore University of Technology and Design
*Contact email: pawel.dmochowski@vuw.ac.nz

Abstract

We examine the effect of transmit antenna selection on the secondary user (SU) and primary user (PU) capacity in a multiple-input single-output cognitive radio system. We consider antenna selection with the aim of improving SU and PU capacity and mitigating the effects of incomplete channel knowledge by the SU. Under a minimum PU signal-to-interference-and-noise ratio constraint, analytical and semi-analytical expressions for the permissible SU transmit power are derived, which are used in obtaining capacity cumulative distribution functions by means of simulations. We show that PU antenna selection is effective at reducing the SU blocking probability, the probability that it cannot transmit, while SU antenna selection leads to significant gains in its capacity. Antenna selection at the SU is also shown to effectively compensate for incomplete channel knowledge and can be used to achieve moderate improvements in PU capacity.