TY  - JOUR
T1  - Evaluation of Efficiency Techniques for Spectrum Decision Making in
Cognitive Radio Wireless Networks
AU - Patricia Garcia, Angela AU - Lopez Sarmiento, Danilo AU - Trujillo, Edwin 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 12
SP  - 2729
EP  - 2739
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.2729.2739
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.2729.2739
KW  - Cognitive radio
KW  -spectrum
KW  -primary user
KW  -secondary user
KW  -correlation
KW  -linear regression
KW  -autocorrelation
AB  - 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.
ER  -