• DocumentCode
    3770376
  • Title

    Multi-slot double constraints adaptive energy detection for spectrum sensing in Cognitive radio networks

  • Author

    Kanabadee Srisomboon;Akara Prayote;Wilaiporn Lee

  • Author_Institution
    Communication and Computer Network Research Group, Electrical Engineering, Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut´s University of Technology North Bangkok, Thailand
  • fYear
    2015
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    In this paper, we propose a new scheme of an adaptive energy detection, multi-slot double constraints adaptive energy detection (MDCAED), with an objective to improve the detection performance of our previous work, double constraints adaptive energy detection (DCAED). MDCAED exploits multiple mini-slot technique, which achieves the diversity reception concept, to increase the ability to distinguish noise from the PU since the effect of diversity reception increases the received SNR. MDCAED performs spectrum sensing by spitting a sensing slot into a multiple mini-slot. Each mini-slot is performed spectrum sensing using DCAED and the final decision is made by using K-of-N rule. The decision threshold is adapted on the SNR of each mini-slot using DCAED. Therefore, by exploiting the multiple mini-slot concept together with DCAED, Pfa is reduced while Pd is improved. Although, the detection performance is improved, the average sensing time of MDCAED slightly increases compared to DCAED since the system threshold needs to adapt more than once. Nevertheless, the average sensing time of MDCAED still achieves the spectrum sensing requirement.
  • Keywords
    "Sensors","Signal to noise ratio","Cognitive radio","Diversity reception","Simulation","Adaptation models","Information and communication technology"
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2015 15th International Symposium on
  • Type

    conf

  • DOI
    10.1109/ISCIT.2015.7458334
  • Filename
    7458334