DocumentCode :
1777072
Title :
A double threshold energy detection cooperative spectrum sensing scheme over Nakagami and Rician fading channels
Author :
Sharifi, Iman Mohammad ; Alirezaee, Sh ; Heydari, Ramiyar ; Ahmadi, Mahdi ; Erfani, Shervin ; Naserian, Mohammad
Author_Institution :
Electr. Eng. Dept., Razi Univ., Kermanshah, Iran
fYear :
2014
fDate :
29-30 Oct. 2014
Firstpage :
736
Lastpage :
740
Abstract :
Cooperative spectrum sensing is an efficient scheme to deal with the effects of fading components on detection performance in cognitive radio networks. Energy efficiency is one of the impacting factors of this solution. In this paper, we apply the optimal double threshold `n-ratio´ fusion rule over Nakagami and Rician fading channels and examine its performance through numerical simulations. Evaluations indicate that `2-ratio´ and `1-ratio´ logics outperform other data fusion schemes in both Nakagami and Rician channels. Moreover, the optimal K-coefficient is derived to determine the thresholds (λ1 and λ2) in double thresholds scheme for both fading conditions. While the optimal parameters are applied, the reduction of the consumed energy is presented as a tradeoff between detection performance and cooperation overhead.
Keywords :
Nakagami channels; Rician channels; cognitive radio; energy conservation; energy consumption; numerical analysis; radio spectrum management; sensor fusion; signal detection; Nakagami channels; Rician fading channels; cognitive radio networks; cooperation overhead; cooperative spectrum sensing scheme; data fusion schemes; double threshold energy detection performance; double threshold n-ratio fusion rule; energy consumption reduction; energy efficiency; optimal K-coefficient; Cognitive radio; Energy efficiency; Fading; Nakagami distribution; Rician channels; Sensors; Signal to noise ratio; cooperative spectrum sensing; data fusion rules; energy efficiency; fading channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-5486-5
Type :
conf
DOI :
10.1109/ICCKE.2014.6993437
Filename :
6993437
Link To Document :
بازگشت