Spectrum sensing algorithm using ANN in cognitive radio

  • Authors

    • Ayoub Esam Kamal Northern Technical University, Kirkuk Technical Institute
    • Arshad B. Salih
    • Ali Najdet Nasret Coran
    2019-03-12
    https://doi.org/10.14419/ijet.v7i4.20731
  • Cognitive Radio (CR), Spectrum Sensing (SS), Spectrum Manager (SM), Base Station (BS), Primary User (PU), Secondary User (SU).

  • Abstract

    Studies of cognitive radio context raised major challenges about assigning SUs into licensed bands. Such challenges stand for time more likely, when the SU begins transmission and when it terminates the transmission? Asking this question implies that SU may limit the transmission in contrast with PU activity. In this paper, we propose a method for predicting the behaviors of PU during a particular period of time. This method reflects the schedule of spectrum utilization by PU. Time information can be directed thereafter to spectrum sharing paradigms. Artificial Neural Network is used predict the channel status and provide the information to SUs control station where interference with PUs can be averted.

     

     

     

     

  • References

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  • How to Cite

    Esam Kamal, A., B. Salih, A., & Najdet Nasret Coran, A. (2019). Spectrum sensing algorithm using ANN in cognitive radio. International Journal of Engineering & Technology, 7(4), 5151-5155. https://doi.org/10.14419/ijet.v7i4.20731

    Received date: 2018-10-01

    Accepted date: 2019-03-03

    Published date: 2019-03-12