Title :
Aggregate interference and capacity-outage analysis in a cognitive radio network using cooperative sensing
Author :
Derakhshani, Mahsa ; Tho Le-Ngoc
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
This paper presents a study on interference caused by Secondary Users (SUs) due to miss-detection in a cognitive network over Nakagami fading channels. Interference analysis shows that aggregate interference power from SUs can be closely approximated as a Gamma random variable. The probabilistic properties of aggregate interference power are investigated for non-cooperative, OR´ and Maximum Likelihood (ML) cooperative sensing techniques. Then, closed-form expressions for capacity-outage probability of the Primary User (PU) are derived to study the benefits of cooperative sensing in mitigating interference. Simulation results are also provided to verify the developed analytical models. It is shown that ML sensing offers lower interference and hence better PU capacity-outage probability than OR sensing.
Keywords :
Nakagami channels; cognitive radio; maximum likelihood estimation; radio networks; radiofrequency interference; signal reconstruction; Gamma random variable; ML; Nakagami fading channels; OR sensing; PU; SU; Secondary Users; capacity-outage analysis; closed-form expressions; cognitive radio network; interference analysis; maximum likelihood cooperative sensing technique; primary user; probabilistic properties; Aggregates; Fading; Interference; Nakagami distribution; Receivers; Sensors; Transmitters;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-9788-1
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2011.6030592
