DocumentCode :
2149357
Title :
Analysis of Square-Law Combining for Cognitive Radios over Nakagami Channels
Author :
Liu, Yunxue ; Yuan, Dongfeng ; Jiang, Mingyan ; Fan, Wenqiang ; Jin, Gang ; Li, Fen
Author_Institution :
Sch. of Sci. & Technol. for Opto-Electron. Inf., Yantai Univ., Yantai, China
fYear :
2009
fDate :
24-26 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper addresses the problem of energy detection of a primary signal in a cognitive radio environment over Nakagami channels. As an extension to the previous works, we start with the no diversity case, and present some alternative closed-form expressions of detection probability under Nakagami channels. Then we pay much attention to studying the square-law combining technology when wireless users experience Nakagami fading (the outputs of all square-law devices are added to yield a new decision statistic), and derive closed-form expressions of detection probability when Nakagami parameters are integral. Interestingly, it is noted that, for a diversity scheme of SLC with L diversity branches, the detection probability in a Nakagami channel with integral Nakagami parameter m is equivalent to that in a Rayleigh channel with mL diversity branches. Finally, performance evaluation is exhibited for different numbers of diversity branches and different values of Nakagami parameters.
Keywords :
Nakagami channels; Rayleigh channels; cognitive radio; diversity reception; probability; L diversity branch; Nakagami fading channel; Rayleigh channel; SLC technology; closed-form expression; cognitive radio; energy detection problem; integral Nakagami parameter; probability detection; square-law combining; AWGN; Closed-form solution; Cognitive radio; Detectors; Diversity reception; Fading; Gaussian noise; Probability; Rayleigh channels; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
Type :
conf
DOI :
10.1109/WICOM.2009.5303872
Filename :
5303872
Link To Document :
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