@article{MAKHILLJEAS202015218989,
    title = {Spectrum Detection Scenario over Rayleigh Channel for Cognitive Radio},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {15},
    number = {2},
    pages = {559-566},
    year = {2020},
    issn = {1816-949x},
    doi = {jeasci.2020.559.566},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2020.559.566},
    author = {Oualid,Ahmed,Younes and},
    keywords = {Cognitive radio,spectrum sensing,rayleigh fading channels,energy detection,BER,performance},
    abstract = {The aim of this study is to investigated the performance of the energy detection in Rayleigh fading
channel. Only single user detection situation was investigated. To design a communication link that models
fading, we simulate the Rayleigh channel using the correlation matching criterion. After that, we check the
quality of the transmission, the BER was analyzed for different modulations schemes. We found that BPSK
modulation is less affected by errors. The numerical results of the detection are plotted as Pf Vs Pd for different
values of SNR on the one hand and on the other hand depending on the number of samples used for the
listening of the channel. The results show that the performance of ED depends on the number of samples and
the SNR values.}
    }