DocumentCode
2435995
Title
Cooperative cognitive network: Performance analysis of Cyclostationary spectrum detection
Author
Ali, Rafaqat ; Ahmad, Aftab ; Hussain, Babar ; Zarin, Nagina ; Khan, Imran ; Khan, Iftikhar Ahmed
Author_Institution
Dept. of Telecommun. Eng., Univ. of Eng. & Technol. Peshawar, Khyber Pukhtoonkhwa, Pakistan
fYear
2012
fDate
8-9 Oct. 2012
Firstpage
1
Lastpage
5
Abstract
The Cognitive Radio (CR) continuously monitors the spectrum to detect the presence or absence of the primary user. Cyclostationary is one the efficient spectrum sensing method as it can differentiate among signal, interference and noise in low SNR. In this paper we illustrate the cooperation in cognitive radios by using the Cyclostationary sensing method. We consider the case of cognitive radio cooperating through AWGN channel and using both Amplify-and-Forward (AF) and decode-and-forward (DF) Relaying schemes with different relay locations and exploit their probability of detection. Here we generalize our analysis to two-relay based cognitive radio network for Monte Carlo simulation.
Keywords
AWGN channels; Monte Carlo methods; amplify and forward communication; cognitive radio; decode and forward communication; probability; radio spectrum management; radiofrequency interference; AWGN channel; Monte Carlo simulation; amplify-and-forward relaying scheme; cooperative cognitive network; cyclostationary sensing method; cyclostationary spectrum detection; decode-and-forward relaying scheme; detection probability; interference; noise; performance analysis; spectrum monitoring; spectrum sensing method; two-relay based cognitive radio network; Cognitive radio; Correlation; Relays; Sensors; Signal to noise ratio; Cognitive Radio; Cyclostationary detection; Probability of Detection; Probability of false alarm; Relays;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies (ICET), 2012 International Conference on
Conference_Location
Islamabad
Print_ISBN
978-1-4673-4452-4
Type
conf
DOI
10.1109/ICET.2012.6375428
Filename
6375428
Link To Document