• DocumentCode
    1977176
  • Title

    SEP-optimal antenna selection for average interference constrained underlay cognitive radios

  • Author

    Sarvendranath, Rimalapudi ; Mehta, Neelesh B.

  • Author_Institution
    Dept. of Electr. Commun. Eng., Indian Inst. of Sci. (IISc), Bangalore, India
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    2222
  • Lastpage
    2227
  • Abstract
    In the underlay mode of cognitive radio, secondary users can transmit when the primary is transmitting, but under tight interference constraints, which limit the secondary system performance. Antenna selection (AS)-based multiple antenna techniques, which require less hardware and yet exploit spatial diversity, help improve the secondary system performance. In this paper, we develop the optimal transmit AS rule that minimizes the symbol error probability (SEP) of an average interference-constrained secondary system that operates in the underlay mode. We show that the optimal rule is a non-linear function of the power gains of the channels from secondary transmit antenna to primary receiver and secondary transmit antenna to secondary receive antenna. The optimal rule is different from the several ad hoc rules that have been proposed in the literature. We also propose a closed-form, tractable variant of the optimal rule and analyze its SEP. Several results are presented to compare the performance of the closed-form rule with the ad hoc rules, and interesting inter-relationships among them are brought out.
  • Keywords
    antenna arrays; cognitive radio; error statistics; radiofrequency interference; receiving antennas; transmitting antennas; AS-based multiple antenna techniques; SEP-optimal antenna selection; antenna selection-based multiple antenna techniques; average interference constrained underlay cognitive radios; average interference-constrained secondary system; closed-form rule; nonlinear function; optimal transmit AS rule; primary receiver antenna; secondary transmit antenna; secondary users; spatial diversity; symbol error probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4673-0920-2
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2012.6503445
  • Filename
    6503445