DocumentCode :
3143571
Title :
Detection Probability Analysis of Cooperative Spectrum Sensing in Rayleigh Fading Channels
Author :
Zhu, Jia ; Zheng, Baoyu
Author_Institution :
Inst. of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2009
fDate :
1-3 June 2009
Firstpage :
177
Lastpage :
182
Abstract :
In this paper, two novel cooperative spectrum sensing schemes based on the AF (amplify and forward) and the DF (decode and forward) protocols are proposed to achieve the spatial diversity gains for cognitive radio networks, which are referred to as the AF-CSS (AF-based cooperative spectrum sensing) and the DF-CSS (DF-based cooperative spectrum sensing), respectively. Closed-form expressions of overall detection probability for the non-cooperative spectrum sensing, the AF-CSS and the DF-CSS schemes are derived over Rayleigh fading channels to show the effect of user cooperation on the detection performance. Besides, numerical experiments are conducted to verify the effectiveness of the proposed cooperative schemes, which shows the increase of detection probability by user cooperation for cognitive radio networks, further confirming the advantage of the AF-CSS and the DF-CSS schemes over the traditional non-cooperative spectrum sensing.
Keywords :
Rayleigh channels; cognitive radio; probability; protocols; Rayleigh fading channels; amplify-and-forward protocol; closed-form expressions; cognitive radio networks; cooperative spectrum sensing; decode-and-forward protocol; detection probability; noncooperative spectrum sensing; spatial diversity gains; Centralized control; Chromium; Closed-form solution; Cognitive radio; Decoding; Fading; Protocols; Radio transmitters; Signal processing; Telecommunication computing; Cognitive radio; cooperative diversity; cooperative spectrum sensing; detection probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
Type :
conf
DOI :
10.1109/ICIS.2009.87
Filename :
5223088
Link To Document :
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