• DocumentCode
    118463
  • Title

    ANFIS based opportunistic power control for cognitive radio in spectrum sharing

  • Author

    Chakraborty, Joy ; Varma, J.V.K.C. ; Erman, Maria

  • Author_Institution
    Blekinge Inst. of Technol., Karlskrona, Sweden
  • fYear
    2014
  • fDate
    13-15 Feb. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cognitive radio is an intelligent technology that helps in resolving the issue of spectrum scarcity. In a spectrum sharing network, where secondary user can communicate simultaneously along with the primary user in the same frequency band, one of the challenges is to obtain balance between two conflicting goals that are to minimize the interference to the primary users and to improve the performance of the secondary user. In our paper we have considered a primary link and a secondary link (cognitive link) in a fading channel. To improve the performance of the secondary user by maintaining the Quality of Service (Qos) to the primary user, we considered varying the transmit power of the cognitive user. For this we proposed ANFIS based opportunistic power control strategy with primary user´s SNR and primary user´s interference channel gain as inputs. By using fuzzy inference system, Qos of primary user is adhered and there is no need of complex feedback channel from primary receiver. The simulation results of the proposed strategy shows better performance than the one without power control.
  • Keywords
    cognitive radio; fading channels; fuzzy reasoning; power control; quality of service; radio spectrum management; telecommunication control; ANFIS; cognitive link; cognitive radio; cognitive user; fading channel; feedback channel; fuzzy inference system; opportunistic power control; primary link; primary user SNR; primary user interference channel gain; quality of service; secondary link; spectrum scarcity; spectrum sharing; transmit power; Cognitive radio; Fuzzy logic; Interference; Power control; Quality of service; Receivers; Signal to noise ratio; ANFIS; Fuzzy inference system; spectrum sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Information and Communication Technology (EICT), 2013 International Conference on
  • Conference_Location
    Khulna
  • Print_ISBN
    978-1-4799-2297-0
  • Type

    conf

  • DOI
    10.1109/EICT.2014.6777837
  • Filename
    6777837