By Topic

Q-learning Based p-pesistent CSMA MAC Protcol for Secondary User of 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

2 Author(s)
Bao, S. ; Adv. Wireless Commun. Res. Center, Univ. of Electro-Commun., Tokyo, Japan ; Fujii, Takeo

We consider a reinforcement learning based p-persistent CSMA protocol for cognitive radio secondary user when the primary user operates with the conventional CSMA/CA scheme. The learning scheme is applied to adjust the value of transmission opportunity p to reduce the idle time of channel and also avoid excessive collisions compared with fixed p scheme. Then the proposed method can keep the throughput of the primary user and the channel utilization rate can be improved by sharing the primary user and secondary user traffic. The simulation results show that the secondary user can utilize the available channel efficiently at the cost of additional delay of primary user.

Published in:

Intelligent Networking and Collaborative Systems (INCoS), 2011 Third International Conference on

Date of Conference:

Nov. 30 2011-Dec. 2 2011