• DocumentCode
    2094147
  • Title

    Capacity of spectrum sharing Cognitive Radio systems over Nakagami fading channels at low SNR

  • Author

    Sboui, Lokman ; Rezki, Zouheir ; Alouini, Mohamed-Slim

  • Author_Institution
    Comput., Electr., & Math. Sci. & Eng. (CEMSE) Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5674
  • Lastpage
    5678
  • Abstract
    In this paper, we study the ergodic capacity of Cognitive Radio (CR) spectrum sharing systems at low power regime. We focus on Nakagami fading channels. We formally define the low power regime and present closed form expressions of the capacity in the low power regime under various types of interference and/or power constraints, depending on the available channel state information (CSI) of the cross link (CL) between the secondary user transmitter and the primary user receiver. We explicitly characterize two regimes where either the interference constraint or the power constraint dictates the optimal power profile. Our framework also highlights the effects of different fading parameters on the secondary link ergodic capacity. Interestingly, we show that the low power regime analysis provides a specific insight on the capacity behavior of CR that has not been reported by previous studies.
  • Keywords
    Nakagami channels; cognitive radio; radiofrequency interference; spread spectrum communication; Nakagami fading channels; channel state information; cross link; ergodic capacity; interference constraint; low SNR; optimal power profile; power constraints; power regime analysis; primary user receiver; secondary user transmitter; spectrum sharing cognitive radio system capacity; Decision support systems; Wireless communication; Ergodic Capacity; Interference and Power constraints; Low SNR; Nakagami fading; Spectrum Sharing; Underlay Cognitive Radio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655498
  • Filename
    6655498