Kalman filters applications in radio resource scheduling of wireless communication

Abstract

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.