By Topic

Achieving Energy Efficiency via Drowsy Transmission in Cognitive Radio

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)
Kun Zheng ; Dept. of Electr. Eng. & Comput. Sci., Univ. of Tennessee, Knoxville, TN, USA ; Husheng Li

Energy efficiency is increasingly important for wireless communication systems. An optimization policy for cognitive radio communication systems is derived by employing dynamic programming, thus improving the energy efficiency via drowsy transmission. An alternative Q-learning approach is introduced when the environment model is unknown. Numerical simulation results demonstrate that our proposed optimization is effective. Significant performance gain is achieved especially when the traffic load of secondary user is small, which reduces the energy consumption up to 50%.

Published in:

Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE

Date of Conference:

6-10 Dec. 2010