DocumentCode :
1604607
Title :
Adaptive Two Thresholds Based Energy Detection For Cooperative Spectrum Sensing
Author :
Song, Chunyi ; Alemseged, Yohannes D. ; Tran, Ha Nguyen ; Villardi, Gabriel ; Sun, Chen ; Filin, Stanislav ; Harada, Hiroshi
Author_Institution :
New Generation Wireless Commun. Res. Center, Nat. Inst. of Inf. & Commun. Technol. (NICT), Yokosuka, Japan
fYear :
2010
Firstpage :
1
Lastpage :
6
Abstract :
In cognitive radio networks, secondary users need to conduct spectrum sensing to properly detect the presence of primary signals that may have much lower power than noise plus interference power. In such a case, time-varying noise plus interference, which is briefly called noise uncertainty in this paper, can substantially degrade the sensing reliability of hard information combining (HIC) and soft information combining (SIC). To improve the sensing reliability in the circumstance with heavy noise uncertainty, we propose an adaptive two thresholds based energy detection and a two stage HIC based cooperative decision for cooperative spectrum sensing. The proposed sensing technique has shown better performance than conventional HIC and comparable performance with SIC when a small number of sensing nodes are used in spectrum sensing.
Keywords :
cognitive radio; cooperative systems; interference suppression; spectral analysis; adaptive two thresholds; cognitive radio networks; cooperative decision; cooperative spectrum sensing; energy detection; hard information combining; interference power; sensing reliability; soft information combining; time-varying noise uncertainty; Adaptive signal detection; Chromium; Cognitive radio; Degradation; Interference; Runtime; Signal to noise ratio; Silicon carbide; Sun; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-5175-3
Electronic_ISBN :
978-1-4244-5176-0
Type :
conf
DOI :
10.1109/CCNC.2010.5421593
Filename :
5421593
Link To Document :
بازگشت