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 :
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