Title :
Frame size adaptation for indoor wireless networks
Author :
Ci, Song ; Sharif, H. ; Young, A.
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
fDate :
8/30/2001 12:00:00 AM
Abstract :
An optimal frame size predictor for indoor wireless networks is proposed and studied. Kalman filtering is employed to predict the optimal frame size in order to obtain a guaranteed channel utilisation. Through simulation, it is shown that the proposed algorithm can substantially lower the estimation error
Keywords :
Kalman filters; channel allocation; indoor radio; quality of service; wireless LAN; Kalman filtering; channel utilisation; estimation error; frame size adaptation; indoor wireless networks;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010778
