By Topic

Distributed cooperative spectrum sensing for 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

4 Author(s)
Liang Chen ; Sch. of Inf. & Telecommun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China ; Hong Ji ; Yi Li ; Xi Li

Spectrum sensing is an essential functionality of cognitive radio networks. In this paper, a noncooperative game framework is proposed for studying the interactions between multiple secondary strategic users in spectrum sensing. The licensed spectrum of single primary user is divided into K sub-bands, each secondary user operates exclusively in one sub-band. In each time interval, secondary users are optimally selected to perform cooperative sensing. We model this scenario as a noncooperative game and analyze it by exploring the properties of Nash equilibrium point. We further develop a distributed learning algorithm so that the secondary users approach the NE solely based on their own payoff observations. The simulation results show that the proposed scheme can significantly increase the total throughput than having all secondary users sensing in every time slot. Moreover, the average throughput per user in the sensing game is higher than the case where secondary user sense individually without cooperation.

Published in:

Wireless Communications and Networking Conference (WCNC), 2012 IEEE

Date of Conference:

1-4 April 2012