Recent advancements in Full Duplex (FD) radio have built a promising idea for faster channel sensing in cognitive radio. Full duplex cognitive radio (FDCR) provides an efficient way to utilize the idle channel without interrupting the ongoing transmission. Currently, non-parametric sensing techniques like energy detection and its modified techniques are implemented for FDCR. In this paper, we introduce a Goodness of Fit based distribution-free sensing in FDCR. With Monte Carlo simulations and analytical approximation, we show that the proposed technique outperforms energy detection and other goodness-of-fit based sensing algorithms for FDCR.


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    Title :

    Distribution-Free Spectrum Sensing for Full Duplex Cognitive Radio


    Contributors:


    Publication date :

    2018-08-01


    Size :

    164079 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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