DocumentCode :
2744329
Title :
‘n-ratio’ logic based cooperative spectrum sensing using double threshold energy detection
Author :
Srivastava, Shishir Kumar ; Banerjee, Adrish
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Kanpur, Kanpur, India
fYear :
2009
fDate :
22-24 June 2009
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we describe a new cooperating sensing method using double threshold energy detection technique for cognitive radio. Each secondary cognitive user takes a local decision on spectrum occupancy based on two threshold energy detection and uses 1 bit information to convey its decision to the fusion center that collects decisions from all cooperating users who are able to detect presence or absence of signal. Fusion center takes a final decision using what we called dasian-ratiopsila logic. We will show that OR logic proposed in the literature is a special case of the dasian-ratiopsila logic decision. We derive the expression for probability of detection and probability of false alarm for our dasian-ratiopsila logic cooperating sensing method for additive white Gaussian noise (AWGN) and flat fading Rayleigh channels. Finally we present some results that shows improvement in spectrum sensing of the proposed method in comparison to OR logic, while keeping network overhead low.
Keywords :
AWGN; Rayleigh channels; cognitive radio; probability; radio spectrum management; signal detection; OR logic; additive white Gaussian noise; cognitive radio; cooperative spectrum sensing; detection probability; double threshold energy detection; false alarm probability; flat fading Rayleigh channels; fusion center; n-ratio logic; signal detection; AWGN channels; Additive white noise; Bandwidth; Cognitive radio; Detectors; Energy states; Fading; Interference; Logic; Rayleigh channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Radio Oriented Wireless Networks and Communications, 2009. CROWNCOM '09. 4th International Conference on
Conference_Location :
Hannover
Print_ISBN :
978-1-4244-3423-7
Electronic_ISBN :
978-1-4244-3424-4
Type :
conf
DOI :
10.1109/CROWNCOM.2009.5189162
Filename :
5189162
Link To Document :
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