By Topic

Kalman filters applications in radio resource scheduling of wireless communication

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)
Elmusrati, M. ; Control Eng. Lab., Helsinki Univ. of Technol., Espoo, Finland ; Koivo, H.

We investigate the applications of Kalman filters as radio resource scheduler. A novel algorithm is proposed. It is well known fact that the Kalman filter is the optimum linear tracking device on the basis of second order statistics. This feature motivates us to apply the Kalman filter in this type of applications. The proposed Kalman radio resource scheduler is a distributed algorithm. The convergence properties of the proposed algorithm are studied. The simulations show that the proposed algorithm is able to track the fast variations of channel gain and achieves the required quality of service. It has fast convergence speed in terms of transmitted power and outage.

Published in:

Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on

Date of Conference:

11-14 July 2004