@article{MAKHILLJEAS2016111213970,
    title = {Evaluation of Efficiency Techniques for Spectrum Decision Making in
Cognitive Radio Wireless Networks},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {11},
    number = {12},
    pages = {2729-2739},
    year = {2016},
    issn = {1816-949x},
    doi = {jeasci.2016.2729.2739},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2016.2729.2739},
    author = {Angela,Danilo and},
    keywords = {Cognitive radio,spectrum,primary user,secondary user,correlation,linear regression,autocorrelation},
    abstract = {The level of success of spectral decision in cognitive radio networks depends on how good the
prediction model of channel usage is in both licensed and unlicensed bands. In this research, three different
techniques are explored to predict channel state from the point of view of the use given by the primary user and
optimization of the best technique is proposed to achieve a closer prediction to reality from the use of actual
data of a WiFi network as validation method. The article concludes that our algorithm is optimal for short
history windows.}
    }