Cart (Loading....) | Create Account
Close category search window

A selective cooperative spectrum sensing scheme based on improved evidence theory in cognitive radio networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xue Li ; Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China ; Tiejun Lv ; Feichi Long

Due to providing ideal detection performance, cooperative spectrum sensing has been widely employed in cognitive radio networks. However, sensing results of the distributed second users have great uncertainty arising from channel conditions. In order to settle the problem, this paper proposes a selective cooperative spectrum sensing scheme based on improved Dempster-Shafer evidence theory. The scheme first selects second users with enough information to take part in combining at fusion center, which can save the bandwidth for reporting second users' local observations. Afterwards we apply a method of basic probability assignment and three improved combination rules of evidence theory so as to combine the local observations of the selective second users. In this way, we efficaciously solve uncertainty problem and lower computational complexity when evidence increases. Simulation results show the improved combination rules supply preferable detection performance comparing with traditional Dempster-Shafer combination rule.

Published in:

Computational Problem-Solving (ICCP), 2010 International Conference on

Date of Conference:

3-5 Dec. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.