DocumentCode :
2374167
Title :
Opportunistic adaptive relaying in cognitive radio networks
Author :
Jaafar, Wael ; Ajib, Wessam ; Haccoun, David
Author_Institution :
Dept. of Electr. Eng., Ecole Polytech. de Montreal, Montreal, QC, Canada
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1811
Lastpage :
1815
Abstract :
Combining cognitive radio technology with user cooperation could be advantageous to both primary and secondary transmissions. In this paper, we propose a first relaying scheme for cognitive radio networks (called “Adaptive relaying scheme 1”), where one relay node can assist the primary or the secondary transmission with the objective of improving the outage probability of the secondary transmission with respect to a primary outage probability threshold. Upper bound expressions of the secondary outage probability using the proposed scheme are derived over Rayleigh fading channels. Numerical and simulation results show that the secondary outage probability using the proposed scheme is lower than that of other relaying schemes. Then, we extend the proposed scheme to the case where the relay node has the ability to decode both the primary and secondary signals and also can assist simultaneously both transmissions. Simulations show the performance improvement that can be obtained due to this extension in terms of secondary outage probability.
Keywords :
Rayleigh channels; channel coding; cognitive radio; decoding; network coding; probability; radio networks; Rayleigh fading channels; cognitive radio networks; cognitive radio technology; opportunistic adaptive relaying scheme; primary outage probability threshold; primary signal decoding; relay node; secondary outage probability; secondary signal decoding; upper bound expressions; user cooperation; Adaptation models; Cognitive radio; Interference; Probability; Relays; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6364211
Filename :
6364211
Link To Document :
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