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

fYear

2011

fDate

8-11 May 2011

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on

Conference_Location

Niagara Falls, ON

ISSN

0840-7789

Print_ISBN

978-1-4244-9788-1

Electronic_ISBN

0840-7789

Type

conf

DOI

10.1109/CCECE.2011.6030592

Filename

6030592